ADVOCATE Teaming Profiles
This page is designed to help facilitate connections between prospective proposers, which ARPA-H anticipates will be necessary to achieve the goals of the Agentic AI-Enabled Cardiovascular Care Transformation (ADVOCATE) program. Prospective performers are encouraged (but not required) to form teams with varied technical expertise to submit a proposal.
If either you or your organization are interested in teaming, please create a profile via the ARPA-H Solutions Portal linked below. Your details will then be added to this page, which is publicly available.
Please note that by publishing the teaming profiles list, ARPA-H is not endorsing, sponsoring, or otherwise evaluating the qualifications of the individuals or organizations included here. Submissions to the teaming profiles list are reviewed and updated periodically.
ADVOCATE Teaming Profiles
To narrow the results in the Teaming Profiles List, please use the input below to filter results based on your search term. The list will filter as you type.
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| Conner McCraw | NinePlusOne AI (9+1AI) | conner@9plus1.ai | Boston; Winston-Salem, NC | 9+1AI focuses on developing clinically validated, agentic AI systems that transform cardiovascular care by enabling continuous, patient centered risk detection and decision support using real time ECG and connected health data, aligned with scalable, safe deployment in real world clinical settings. | 9+1AI is seeking teaming partners with deep expertise in health economics and outcomes research to complement our existing strengths in clinical validation and scalable deployment. Our primary goal is to rigorously quantify the real world economic and system level impact of agentic cardiovascular AI. | TA1: CVD Agent, TA3: Scalable Implementation |
| Joseph Cohn | ACCELINT | joseph.cohn@soartech.com | Falls Church, VA | ACCELINT Focuses on Agentic AI grounded in cognitive architectures and LLMs, emphasizing autonomous planning, adaptive and continual learning, user-AI teaming, trust and assurance. Core work focuses on scalable deployment of transparent human-centered AI for healthcare and defense, including clinical decision support tools developed for DARPA and DHA, and Medical Countermeasure planning for DTRA. | (1) Direct Clinical Cardiovascular specialization; (2) Access to real-World EHRs, Wearables and Longitudinal patient data for validation; (3) Healthcare delivery partners to support interoperability and orchestration; (4) Clinical operational experience embedding agentic AI into cardiology care teams. | TA1: CVD Agent, TA2: Supervisory Agent |
| Sanjay Kumar | Access Heart Inc | sanjay.kumar@accessheart.com | Weston, WI | Access Heart focuses on cardiology access, equity analytics, and rural healthcare development. Our proprietary Access Fairness Score (AFS) quantifies cardiovascular care disparities at county level across all 50 states. Our research focuses on effects of AI-enabled virtual cardiology care on meaningful cardiovascular metrics. | We seek TA1/TA2 teams with agentic AI development capability for patient-facing cardiovascular care agents. Ideal partners have FDA medical device regulatory experience, EHR integration expertise, and AI safety monitoring capability. | TA3: Scalable Implementation |
| Joris Van Dam | Advokare | joris@advokare.health | Boston, MA | We developed a CareGapEngine - an Agentic AI platform that identifies the gap between a patients health record (including but not limited to EHR) and the published clinical guidelines. Today, we use our CareGapEngine as non-SAMD to inform patient-provider conversations. | Data, process and RL tooling to improve and demonstrate performance of CareGapEngine as SAMD | TA1: CVD Agent, TA2: Supervisory Agent |
| Greg Versmee | Alar AI | gv@alar-ai.com | Cambridge, MA | We develop agentic AI infrastructure for clinical reasoning validation, auditability, and regulatory traceability. Our work focuses on transforming clinical guidelines, trial evidence, and protocol logic into structured, machine-readable constraints that can be used to monitor, evaluate, and safely govern autonomous or semi-autonomous clinical AI systems. | We are seeking TA1 and TA2 teams developing agentic clinical systems who need robust supervisory capabilities, including clinical reasoning validation, uncertainty and hallucination detection, auditability, and FDA-aligned evidence traceability. Ideal partners value modular, disease-agnostic oversight components that strengthen safety, regulatory readiness, and scalable deployment. | TA2: Supervisory Agent, TA1: CVD Agent |
| Indu Poornima | Allegheny Health Network | indu.poornima@ahn.org | Pittsburgh, PA | In our integrated healthcare network we are focused on achieving secondary prevention goals after acute myocardial infarction. This includes optimal medication management for hypertension, hyperlipidemia, diabetes alongside lifestyle changes and completion of cardiac rehabilitation. Scaling this at a population level is our focus as this can reduce post-MI morbidity and mortality, lower healthcare costs and improve patient overall experience. | An agentic AI platform that is able to identify appropriate patients for titration of medications and accomplish this in a timely fashion with appropriate oversight, interact with patients to facilitate cardiac rehab and implement lifestyle modification behaviors. | TA3: Scalable Implementation, TA1: CVD Agent |
| Daniel Lopez-Martinez | Amazon Health | daniel@lopezmartinez.net | Palo Alto, CA | Multimodal agentic system development for health | Expertise in cardiovascular medicine and primary care medicine. | TA2: Supervisory Agent, TA3: Scalable Implementation, TA1: CVD Agent |
| Tyler Willis | Amazon Web Services | tylrwill@amazon.com | Arlington, VA | AWS focuses on advancing autonomous AI agents for healthcare delivery, combining generative AI (Amazon Bedrock), production ML (SageMaker), and healthcare data interoperability (HealthLake, HealthImaging, HealthOmics) with Amazon Pharmacy's medication management capabilities. Our research priorities include low-latency multimodal AI systems, FDA-compliant medical device development, independent AI oversight mechanisms, and scalable deployment across diverse healthcare settings. | AWS seeks partners with deep cardiovascular clinical expertise, EHR integration capabilities, and patient engagement experience. Ideal partners bring longitudinal patient data, clinical validation infrastructure, and regulatory affairs expertise for FDA authorization pathways. We value organizations committed to interoperability standards, human-centered design, and real-world evidence generation through Scalability Studies. | TA1: CVD Agent, TA2: Supervisory Agent, TA3: Scalable Implementation |
| Jonah Cool | Anthropic | jcool@anthropic.com | San Francisco, CA | Anthropic develops frontier AI models and agentic infrastructure for high-stakes domains including healthcare. Our research focuses on reducing hallucinations through mechanistic interpretability, training models for honesty and calibrated uncertainty, and building steerability into agentic systems. We advance open standards—including the Model Context Protocol (MCP) and Agent Skills—to enable developers to build reliable, context-aware agents that integrate to domain-specific tools and data. | We seek partners with clinical cardiovascular expertise, health system integration experience, and agent development capabilities to build patient-facing and supervisory AI agents for the ADVOCATE program. We provide the frontier model infrastructure, agentic tooling, and safety research to power reliable, autonomous clinical agents. | TA2: Supervisory Agent, TA1: CVD Agent |
| Adam Amos-Binks | Applied Research Associates | aamosbinks@ara.com | Raleigh, NC | We focus on military medicine from point-of-injury to post-deployment. We have expertise across human physiology, AI, and specialize in ways to manage risk of novel events. | Expertise in operational hospital deployments is of interest. | TA2: Supervisory Agent |
| Svitlana Volkova | Aptima, Inc. | svitlana.volkova@gmail.com | Woburn, MA, MA | Aptima develops human-centered AI for high-stake decision environments. Current areas: (1) agentic AI enabling autonomous reasoning, planning and action with calibrated human oversight; (2) continuous AI monitoring for real-time performance evaluation, and safety validation, (3) multimodal data fusion for health threat assessment; (4) human-AI teaming models optimizing trust and clinical team performance. | Aptima seeks to partner with (1) Health systems with EHR access and patient population for TA3 and (2) Wearable companier with RPM platforms. | TA2: Supervisory Agent, TA1: CVD Agent |
| Yoona Kim | Arine Inc. | ykim@arine.io | San Francisco, CA | Arine is a medication AI company that can provide the pharmacist AI agents to optimize medications for CVD | Arine would be interested in teaming with a partner who focuses on physician care through AI agents | TA1: CVD Agent, TA2: Supervisory Agent |
| Katherine Monsalve | Arkangel AI | katherine.monsalve@arkangel.ai | Cambridge, MA | NLP and AI on free-text clinical data for: (1) clinical risk—screening, prioritization, early detection of deterioration; (2) supervisory and audit layers—guideline adherence, compliance; (3) scalable integration into hospital workflows. Focus on cardiovascular applications, traceability, and real-world deployment. +305 hospitals, 11 countries. | Buscamos sistemas sanitarios estadounidenses, experiencia clínica en enfermedades cardiovasculares y experiencia en la FDA/normativa. Lideramos los componentes de supervisión e integración escalable y buscamos socios para el agente de atención al paciente (área 1). contamos con experiencia en más de 305 hospitales, 11 países, pruebas publicadas y marcos de cumplimiento. | TA2: Supervisory Agent, TA3: Scalable Implementation |
| Neil Shah | Atropos Health | neil.shah@atroposhealth.com | New York City, NY | Atropos Health specializes in using real world evidence (RWE) combined with AI/ML to enable improved clinical care, operational efficiency, and predictive insights for healthcare organizations, payors, and pharma/device manufactures. | Experience with patient facing healthcare applications. | TA3: Scalable Implementation, TA1: CVD Agent |
| Adam Rodman | Beth Israel Deaconess Medical Center | arodman@bidmc.harvard.edu | Boston, MA | The Rodman Lab at Beth Israel Deaconess Medical Center focuses on development and rigorous evaluations of patient-facing and human-on-the-loop AI systems. Working closely with Google DeepMind, we recently completed the first pre-registered clinical trial (NCT06911398) of a patient-facing AI system. Our NIH-, ARPA, and foundation-funded work focuses on validating human-AI teaming, and validating human-like scalable oversight systems for AI deployments, as well as investigating patient-facing AI. | We are looking to leverage our successful history of scalable evaluation with a partner capable of building and deploying strong patient-facing technology. | TA2: Supervisory Agent, TA1: CVD Agent |
| Timothy Chou | BevelCloud | tim@bevelcloud.io | Palo Alto, CA, CA | Training accurate, non-biased AI Agents requires access to large amounts of diverse data. Centralized AI infrastructure will never work for healthcare and life sciences. Data sizes are much larger, security and requirements much tougher. Rather than move the data to the AI application we have engineered a privacy-preserving, real-time, distributed AI cloud infrastructure for healthcare and life sciences. | Application/Agent builders who need access to large diverse data as well as the ability to deploy to the point of care in the clinic, hospital or ambulance - rurally and nationally. | TA1: CVD Agent, TA3: Scalable Implementation |
| Dr Anmol Kapoor | BioAro Inc | anmolmd@bioaro.com | Delware, DE | BioAro is a next-generation precision health company recognized for its leadership in agentic AI. Through platforms such as PanOmiQ and BioELR, BioAro autonomously integrates multi-omics, clinical records, and wearable data via mobile applications to deliver real-time insights. Its LLM models deployed in cardiology care enable intelligent decision support, continuous risk monitoring, and scalable precision medicine across clinical and research ecosystems. | BioAro seeks partners with deep expertise in healthcare, life sciences, AI, and digital health, including hospitals, academic labs, pharma and biotech firms, wearable and medical device companies, and cloud or sovereign AI providers. We value teams with strong clinical validation capabilities, data governance maturity, regulatory experience, and a shared vision to scale agentic AI for precision medicine and cardiology care | TA1: CVD Agent, TA2: Supervisory Agent |
| Maulik Majmudar | Biofourmis | mmajmudar@gmail.com | Boston, MA | We are a technology-enabled care delivery company with expertise in chronic care management for complex conditions like heart failure. In addition, we have developed the first-ever "digital therapeutic" for cardiovascular care - a software system for automated medication initiation and titration to close evidence-practice gaps. This software system has already received Breakthrough Device Designation by the FDA and the outcomes were recently published in a peer-reviewed journal. | Looking for partners with extensive experience in building AI agents (both primary and supervisory) and health systems for scalable implementation with the SaMD embedded into EMR workflows. We have developed the first-ever "digital therapeutic" for cardiovascular care - a software system for automated medication initiation and titration to close evidence-practice gaps. | TA1: CVD Agent, TA3: Scalable Implementation |
| Arash Nargesi | Broad Institute of MIT and Harvard | anargesi@broadinstitute.org | Cambridge, MA | The ML4H group at the Broad Institute brings together deep AI and clinical expertise to advance machine learning for health care. Our team includes machine learning engineers, data scientists, and practicing clinicians who collaborate closely across disciplines. We have a strong track record of developing, validating, and deploying robust ML solutions that address real-world clinical and biomedical challenges, translating cutting-edge methods into meaningful health impact. | We seek teaming partners who bring complementary scientific, technical, or translational strengths aligned with ADVOCATE program. Ideal partners demonstrate experience working across disciplines, including AI and clinical medicine. We value collaborators with strong domain expertise in evaluation and benchmarking of agentic AI. | TA2: Supervisory Agent, TA2: Supervisory Agent |
| Nahid Nahid | Calmi2 | nahid-zeinali@uiowa.edu | San Diego, CA | FAIR data infrastructure and AI-enabled data stewardship for biomedical research. We build tools for provenance, metadata standards, interoperable data exchange, and evaluation/monitoring frameworks for AI systems (including LLMs) across clinical and research workflows. | CalMI2 is looking for partners who can support real-world clinical deployment and validation—health systems/clinics for EHR and workflow integration (including rural/community settings), cardiovascular clinical expertise, and regulatory/quality guidance for safe, scalable adoption. We also welcome partners with implementation and operational experience to help translate solutions into routine care. | TA3: Scalable Implementation, TA2: Supervisory Agent |
| Alexander Macalalad | CareHarmony | amacalalad@care-harmony.com | Nashville, TN | Our research is in deploying AI to enhance chronic care coordination with a specialty in cardiovascular disease. Our technology blends both AI and human‑driven clinical expertise to guide, continuously monitor, adjust, and support patient journey between visits – making coordinated care for cardiac patients significantly more scalable. | We are looking to collaborate with health systems / cardiologist groups willing to provide an even more diverse clinical settings for piloting our agents, contribute additional real-world workflows for more iterative testing, and help help refine integration with scheduling, medication workflows, and patient communication. | TA1: CVD Agent, TA2: Supervisory Agent |
| Kimberly Elenberg | Carnegie Mellon University | kelenber@andrew.cmu.edu | Pittsburg, PA | For more than 20 years we have been working closely with critical care physicians in the clinic and the field. We are making benchmarking agentic AI for time-series, a core modality for compensation/decompensation and safety. | We are open to teaming and have strong relationships with the DOW and other Universities. Any teams with complementary capabilities are welcome. | TA2: Supervisory Agent, TA3: Scalable Implementation |
| Nicholas Tatonetti | Cedars-Sinai Medical Center | nicholas.tatonetti@cshs.org | Los Angeles, CA | We develop AI/ML methods for biomedical discovery with emphasis on drug safety, toxicity, and clinical risk prediction. Current focus areas include computational oncology, modeling immune-related adverse events, integrating multimodal clinical and molecular data, and causal/physiological modeling to advance precision therapeutics for understudied populations. | We seek collaborators with strengths in clinical domain expertise, translational biology, data generation (e.g., longitudinal cohorts, molecular profiling), and advanced modeling of complex disease. Ideal partners accelerate impact on drug safety and therapeutic optimization, especially for underserved or understudied populations through integration of rich data and rigorous validation. | TA1: CVD Agent, TA2: Supervisory Agent |
| Avni Desai | CGI Federal | avni.desai@cgifederal.com | Fairfax, VA | CGI Federal supports system integration by aligning legacy systems with modern architectures, enabling secure, efficient interoperability. We deliver end-to-end solutions using agile methods, rigorous testing, and compliance standards to ensure performance and scalability. Through collaboration and innovation, we help federal agencies reduce costs, improve operations, and achieve mission success. | Innovative solutions from startups and/or research universities and institutions that are seeking to advance medical care across the ecosystem | TA3: Scalable Implementation |
| Lucy Orr-Ewing | CHAI | lucy@chai.org | Sudbury, MA | The Coalition for Health AI (CHAI) is a non-profit, industry-led public-private partnership uniting healthcare, technology, government, academia, and patients to advance responsible AI in health. With 4,000 members from 3,000 organizations, CHAI builds consensus, creates best practices, and strengthens trust in AI’s use to improve care and outcomes. | CHAI is supporting TA-2 and TA-3 and seeking partners: (1) cardiology associations with deep reputational authority to serve as standards arbiters; (2) clinical sites, health systems, payors, and plans to serve as TA-3 EHR-enabled / testbeds / reimbursors; (3) agentic AI and cardio-AI developers and (4) AI governance and monitoring organizations for TA-2. Together, we will integrate evidence-based cardiology guidelines with AI lifecycle best practice spanning governance, evaluation + monitoring. | TA3: Scalable Implementation, TA2: Supervisory Agent |
| Spencer Lynn | Charles River Analytics | slynn@cra.com | Cambridge, MA | We bring AI/ML and engineering expertise including integration of agentic AI and reasoning systems; LLM fine-tuning, including RLHF; probabilistic program generation; neural nets. We have experience in biomedical research, wearables, and signal-processing. We bring expertise in user experience development, including human factors, design, and cognitive task analysis. See www.cra.com for more. | We have extensive experience leading large multi-partner programs with ARPA-H, DARPA, IARPA, and others. We seek to join or lead a team for TA 1 and/or TA 2 that includes cardiologists, biomedical engineers specializing in sensing of CVD-relevant signals, and regulatory & health IT experts. | TA2: Supervisory Agent, TA1: CVD Agent |
| Sebastian Ouslis | ChartR Health | sebastian@chartrhealth.com | New York City, NY | ChartR Health builds continuous evaluation infrastructure for clinical AI and healthcare processes. Our agent-native platform harmonizes multi-source clinical data into knowledge graphs, enabling real-time monitoring of providers, processes, and AI systems with full auditability. We focus on quality and safety metrics, regulatory compliance, and scalable deployment across diverse healthcare settings—from academic medical centers to resource-constrained environments. | We seek partners with cardiovascular diagnostic innovations or implementation expertise needing evaluation infrastructure. ChartR provides agent-to-agent oversight protocols, EMR integration, and multi-site deployment experience. We complement clinical algorithm and diagnostic innovators with continuous monitoring, compliance documentation, and scalability frameworks that transform pilots into sustainable clinical programs at scale. | TA2: Supervisory Agent, TA3: Scalable Implementation |
| Ruben Ganesh | ChartR Health | Ruben@chartrhealth.com | New York City, NY | ChartR Health focuses on building responsible autonomous agents that regularly evaluate provider performance, care processes, and clinical technology in real-word settings. Our research combines machine learning, engineering, regulatory science, and health policy to support safe, compliant decision-making. Our core team is advised by health system leaders including Dr. Craig Smith, CT surgeon and former president of the American Association of Thoracic Surgeons, and Dr. Marvin Borja. | ChartR Health looks for teaming partners who are committed to translating innovation into real-world impact. We value collaborators with strong clinical, technical, or implementation expertise who understand frontline care, regulatory expectations, and the importance of trust. Ideal partners share a focus on safety, accountability, and continuous learning, and are motivated to ensure new technologies measurably improve outcomes for patients and providers. | TA2: Supervisory Agent, TA3: Scalable Implementation |
| Aabid Shariff | Citrus Oncology | aabid.shariff@citrusoncology.com | Cary, NC | Risk of cardiac disease in cancer patients | RPM device companies related to cardiac conditions | TA1: CVD Agent, TA3: Scalable Implementation |
| Austin Speier | Click Therapeutics | austin@clicktherapeutics.com | New York, NY, NY | Design, development, clinical validation and FDA regulatory authorization of prescription digital therapeutics, including agentic AI and LLM-based therapeutic modules | Additional agentic AI expertise, additional cardiology expertise, cardiac healthcare system expertise | TA1: CVD Agent, TA2: Supervisory Agent |
| Samuel Rutherford | CogniTrainer | emile@cognitrainerai.com | New York, NY | CogniTrainer develops clinically-informed agentic AI for measurement-based care, remote patient monitoring, and scalable health data capture from naturalistic conversations. Our systems are benchmarked against human raters and best research practices for accuracy, reliability, and regulatory readiness. We focus on lifelike, person-centered communication and seamless EHR integration. | We seek TA2 and TA3 partners focused on supervisory oversight, regulatory compliance, and clinical workflow integration. Ideal collaborators include health systems for trial implementation and organizations with biometric data infrastructure. We support modular integration with EHRs and scalable deployment in diverse care environments. | TA1: CVD Agent, TA3: Scalable Implementation |
| Maxim Topaz | Columbia University | mtopaz80@gmail.com | New York, NY | Columbia School of Nursing develops and evaluates clinical AI for real-world care delivery, including agentic and multimodal systems (text and speech) to support decision-making, reduce documentation burden, and improve patient outcomes. We specialize in safety, bias and equity assessment, guideline-grounded AI, implementation science, and pragmatic evaluation in home-based and transitional care workflows. | Seeking partners in cardiology clinical leadership (HF pathways), FDA/regulatory strategy for SaMD, product engineering for secure EHR integration and scalable deployment, and additional health-system sites (including rural/community settings) to demonstrate generalizability. Interested in teams developing patient-facing CVD agents where we can lead oversight, safety monitoring, equity evaluation, and real-world implementation. | TA1: CVD Agent, TA2: Supervisory Agent |
| Pierre Elias | Columbia University Irving Medical Center | elias1525@gmail.com | New York City, NY | AI based cardiac screening | ability to scale across country | TA1: CVD Agent, TA2: Supervisory Agent |
| Brian Alper | Computable Publishing LLC | balper.computablepublishing@gmail.com | Franklin, NC | We manage the EBMonFHIR standard, an extension of FHIR to be a standard for data exchange for research results, evidence synthesis, guidelines, recommendations, and clinical decision support. We host a platform at https://fevir.net for creating, viewing, converting, and storing evidence-related content in FHIR form. We created https://NetBenefitCalculator.com to provide individualized patient-facing decision support to determine net benefit or net harm for clinical interventions. | We can provide 2 key solutions for your teaming proposal. (1) For the TA1 Patient Experience metric of Proportion of interactions where clinical agent effectively adapts to patient preferences, our Net Benefit Calculator allows the patient to record their relative importance of health outcomes. (2) For the support of FDA regulatory requirements for decision support, we can help document the supporting evidence to justify the recommendations. | TA1: CVD Agent |
| Stacey Hagens | Concept Plus | shagens@conceptplus.com | Fairfax, VA | Cloud computing and multi‑cloud enterprise architectures, including modernization and operations across all major commercial cloud service providers for federal missions. Data analytics and artificial intelligence, with emphasis on business intelligence, predictive analytics, data quality/governance, and applying AI to mission data sets. | Concept Plus is looking for teaming partners that complement its cloud/data/AI and health IT strengths, bring access to key customers or vehicles, and can execute reliably on federal missions. | TA3: Scalable Implementation, TA2: Supervisory Agent |
| Jacob Agris | ConcertAI | jagris@concertai.com | Boston, MA | Our core product for cardiologists and cardiac radiologists improves care pathways using imaging, EHR data and personal wearable data as well as reimbursement support. We have a portal for the care team to notify them of critical findings and using standardized reporting to improve clinical communication. Our current development optimizes primary care, including cardiac care. We directly integrate with the EHR to assist with scheduling, follow-up and developing personalized care pathways. | We would value partnering for multi-modal foundational models and sites for validation that span academic, private, rural and safety hospitals. The challenges with agentic AI is to ensure it addresses diverse patient populations with varying socioeconomic situations that limit patient understanding and care options. | TA1: CVD Agent, TA2: Supervisory Agent |
| Anand Muthusamy | Convergent Research | anand@convergentresearch.org | Los Angeles, CA | Continuous molecular RPM for heart failure; real-time analysis with calibration; multiscale physiological models; closed-loop application design. | Partners with experience integrating new measurements into clinical workflows and EHRs; clinician experts in heart failure and guideline-directed medical therapy. | TA1: CVD Agent, TA2: Supervisory Agent |
| Mehdi Mortazawy | CoreDio Corp | Mehdi@coredio-ai.com | Boston, MA | CoreDio is developing the Cardiac Performance Simulation Engine (CPSE), an AI-powered non-invasive hemodynamic monitoring platform for heart failure patients. We use digital twin modeling and machine learning to estimate cardiac filling pressures from wearable sensor data, enabling continuous remote monitoring without invasive procedures. Currently pursuing FDA Breakthrough Device Designation with clinical validation across multiple catheterization lab sites. | Seeking partners with expertise in: (1) clinical agentic AI development and patient-facing conversational interfaces; (2) AI safety/alignment for healthcare applications and supervisory agent architectures; (3) health system integration, EHR interoperability, and clinical workflow deployment at scale. Open to collaborating with academic medical centers, health systems, and AI research organizations interested in chronic disease management for cardiovascular patients. | TA1: CVD Agent, TA3: Scalable Implementation |
| Rishi Khakhkhar | Counsel Health | rishi@counselhealth.com | New York, NY | We are an AI-enabled virtual care company delivering asynchronous, chat-based care. Our AI research team advances personalized clinical decision support using techniques such as retrieval-augmented generation on EHR data and rapid integration of emerging biomedical research. Our platform surfaces the right patient context to physicians at the point of care, leveraging EHRs, wearables, and patient-reported data to scale high-quality virtual medicine. | Our specialization is patient-facing, agentic clinical AI. We have also developed a proprietary clinician cockpit that delivers context-aware guidance and recommends the next appropriate clinical action at the point of care. We seek partners that can contribute additional data streams (e.g., wearables) and, over time, TA-3 collaborators to support real-world deployment and evaluation. | TA1: CVD Agent, TA2: Supervisory Agent |
| Claire Manneh | Datavant | claire@datavant.com | San Francisco, CA | Datavant’s research focuses on enabling privacy-preserving, interoperable use of real-world health data to support AI-driven healthcare applications. Key areas include secure patient-level data linkage across EHRs and wearables, low-latency interoperability across fragmented systems, governance and auditability for regulatory oversight, and privacy-safe analytics to support scalable deployment, monitoring, and evidence generation for clinical and regulatory use. | Datavant seeks teaming partners developing agentic AI systems or clinical safety and monitoring solutions that require secure, interoperable access to longitudinal health data. Ideal partners value privacy-preserving data integration, regulatory readiness, and scalable deployment across diverse health systems, and are committed to open collaboration, data sharing, and rigorous evaluation in real-world clinical environments. | TA1: CVD Agent, TA2: Supervisory Agent |
| John Mafi | David Geffen School of Medicine at UCLA | jmafi@mednet.ucla.edu | Los Angeles, CA | UCLA Health's AI innovation and evaluation team specializes in rigorous clinical validation of AI technologies. We lead active randomized trials of generative AI in clinical care, including the first RCT of ambient AI scribes (NEJM AI, 2025) and an ongoing RCT of Epic's generative AI chart summarization. We have over a decade of implementation science expertise maximizing high-value care across multi-site health systems. Our infrastructure enables rapid-cycle validation timelines. | We seek TA1 and TA2 partners developing cardiovascular agentic AI systems who need clinical validation infrastructure and implementation expertise. We offer Epic EHR integration, pre-production testing environments, established governance frameworks for clinical AI deployment, and access to diverse populations including heart failure and post-MI cohorts. We have multi-institutional partnerships enabling multi-site validation studies. We bring publication-ready evaluation rigor with protected IP. | TA3: Scalable Implementation, TA3: Scalable Implementation |
| Chaninder Rishi | Describe | rishics02@gmail.com | Miami, FL | How to embed AI into clinical workflows and improve metrics, performance, and utilization across the entire healthcare org | People who bring the medical expertise required to make this project a success. | TA1: CVD Agent, TA3: Scalable Implementation |
| Miraj Sanghvi | digitx | miraj@digitx.com | san francisco, CA | investing in companies to make this a reality | team and product to attack this space! | TA1: CVD Agent, TA3: Scalable Implementation |
| Matt Pavelle | Doctronic | m@doctronic.ai | New York City, NY | We're building AI systems that can safely and autonomously deliver primary care. Our research focuses on clinical decision-making under uncertainty, multi-agent consensus architectures for diagnostic accuracy, autonomous evaluation systems, and the regulatory frameworks needed to deploy autonomous AI in healthcare. We operate the first AI in the U.S. legally authorized to practice medicine (renewing prescriptions in Utah). | We have connections to scalable implementation partners but would appreciate further intros to those with domain expertise and clinical volume. Optimally our clinical partners to participate in the development process by providing clinical feedback during development. | TA1: CVD Agent, TA2: Supervisory Agent |
| Kevin Longoria | Drive Health | Kevin@drivehealth.ai | Gilbert, AZ | Our research focuses on building a human-style credentialing and licensing framework for agentic clinical systems, supported by a deterministic clinical reasoning engine that shifts safety-critical decision logic beyond probabilistic LLMs. We are evaluating real-time competency validation, supervisory control, and continuous post-deployment surveillance to enable trustworthy, scalable clinical agents - advancing a new paradigm for safe autonomy in high-risk domains such as cardiovascular care. | We are seeking teaming partners with demonstrated expertise in regulatory strategy and reimbursement pathways for advanced clinical AI, scaled health system implementation, and real-world evaluation of safety-critical technologies. Ideal partners bring complementary strengths in deployment infrastructure, clinical operations, and health economics to support rigorous validation, adoption, and sustainability of agentic systems at national scale. | TA1: CVD Agent, TA2: Supervisory Agent |
| Rishikesan Kamaleswaran | Duke University | r.kamaleswaran@duke.edu | Durham, NC | The team from Duke University (PI: Kamaleswaran) pioneers AI safety for high-stakes clinical care. We develop multimodal foundation models and real-time supervisory agents (TA2) that monitor AI reliability. Our research focuses on physiological signal processing and "human-in-the-loop" frameworks to ensure clinical agents operate safely within medical guardrails, bridging the gap between advanced ML and bedside application. | We seek collaborators for TA1 (Patient-Facing Agent) and TA3 (Integration). We need partners with expertise in mobile health interfaces, LLM-based conversational agents, and FDA regulatory strategy to complement our strength in backend AI safety. We aim to build a team that can translate our supervisory architecture into a scalable, user-friendly patient experience that integrates seamlessly with healthcare IT. | TA2: Supervisory Agent, TA1: CVD Agent |
| Michael Fowler | Elder Research Inc. | michael.fowler@elderresearch.com | Charlottesville, VA | Elder Research (ERI) is an internationally recognized AI and data analytics solution provider with over 30 years of expertise in artificial intelligence, machine learning, data strategy, data science, data engineering, and training. We have operationalized innovative solutions for hundreds of organizations across diverse industries. Our handcrafted AI and machine learning solutions inform decisions, deliver business value, and transform organizations. | Medical and Health Research Organizations willing and able to provide the subject matter expertise on CVD | TA2: Supervisory Agent, TA3: Scalable Implementation |
| Courtney Henchon | Ellipsis Health | courtney.henchon@ellipsishealth.com | San Francisco, CA | Ellipsis Health pioneered the use of voice biomarkers to detect emotional and physiological risk and delivers empathetic, clinical AI conversations. We partner with health plans and health systems to support care‑management workflows, such as enabling proactive cardiovascular and chronic disease management, aligning directly with the ADVOCATE mission. We scale patient engagement in preventive care options with patient-centric clinical AI. | We seek partners with expertise in cardiovascular care, wearable and remote-monitoring data, EHR interoperability, regulatory strategy, and real-world clinical testing. Together, we will co-develop conversational, agentic AI capabilities to streamline workflows, support preventive care, and deliver empathetic voice conversations at scale. Our goal is to validate that voice-enabled clinical AI can deliver FDA-ready, scalable, real-world impact aligned with the ADVOCATE vision. | TA1: CVD Agent, TA2: Supervisory Agent |
| Gari Clifford | Emory University | gari@ieee.org | Atlanta, GA | We focus on building and disseminating large-scale cardiovascular databases, running real-time public competitions, and developing AI algorithms. | We have a large diverse patient cohort, with extensive (>10 million) historical patients to help build AI algorithms. We have multiple foundation models, but are looking for partenrs with agentic AI solutions to deply in our system. | TA3: Scalable Implementation, TA1: CVD Agent, TA1: CVD Agent |
| Claire Beskin | Empallo | claire@empallo.com | Cambridge, MA | Empallo is a virtual heart clinic built on a modern, scalable infrastructure. We built an EHR that is FHIR-native and open-source, which allows for fast innovation and implementation. Our product iteration cycle is literally daily. | We are looking to partner with primary care clinics and health plans that need more accessible and affordable cardiac care for their patients and members. | TA3: Scalable Implementation, TA1: CVD Agent |
| Andrea Mortera | Empatica | am@empatica.com | Boston, MA | Empatica is a full-stack digital health company and an MIT spin-off. We specialize in the development, production, and deployment of medical-grade wearables and digital biomarkers, powered by an AI-driven platform designed for continuous health monitoring and early detection of medical conditions. | Capability to manage the project and support clinical studies. | TA1: CVD Agent, TA2: Supervisory Agent |
| Brandon Ballinger | Empirical Health | bmb@empirical.health | New York, NY | Empirical has built an agent for cardiovascular health, including personalized guidance of nutrition, exercise, and analysis of wearable data. We published research on a foundation model at NeurIPS (top AI conference) workshop. Our founders previously published research on AI in JAMA Cardiology, ran a heart failure program at UC San Francisco, and worked on applied AI at Google. | We're looking to partner with health systems or individual cardiology practices who can scale deployment and perform research. | TA1: CVD Agent, TA3: Scalable Implementation, TA2: Supervisory Agent |
| Dennis Steindler | Eshelman Institute for Innovation, UNC Chapel Hill; Steindler Consulting | dasteind@email.unc.edu | Gainesville, FL | AI and molecular medicine for heart and brain diseases | Industry partners to help bring our next generation machine learning and molecular medicine therapeutics to the market and the patient. | TA3: Scalable Implementation, TA3: Scalable Implementation |
| James ONeill | FAIR Data Innovations Hub California Medical Innovations Institute | joneill@calmi2.org | San Diego, CA | The FAIR Data Innovations Hub develops open-source tools and standards for making research accessible, interoperable, and reusable. Current work includes AI-powered metadata extraction, structured data schemas for scientific artifacts, and platforms enabling interoperability across heterogeneous repositories. We build infrastructure that standardizes data exchange, tracks provenance, and ensures machine-readability. | Seeking partners with: (1) cardiovascular disease clinical expertise and access to patient populations, (2) health system deployment environments spanning academic medical centers and rural/community settings, (3) FDA regulatory pathway experience for clinical AI. We're looking to complement teams needing robust data standardization and post-deployment oversight architecture to work alongside our AI Research team. | TA3: Scalable Implementation, TA2: Supervisory Agent |
| Fergus O'Dea | Fire1 | fergus.odea@fire1foundry.com | INternational HQ Dublin IReland, US HQ Boston, distributed US presence, MA | ynamics to quantify congestion/volume status. Our research focuses on clinically validated algorithms to enable physician-directed patient self-management, reducing admissions while minimizing clinician data burden. We are exploring how this high-signal physiology can provide safety guardrails and oversight inputs for agentic AI care. | Seeking partners building agentic cardiovascular care (TA1) and safety/verification “overseer” AI (TA2), plus health systems/payers for scalable workflow integration (TA3). Interested in teams needing high-signal physiologic ground truth to constrain autonomous decisions, define escalation logic, and generate FDA-ready evidence. Strong preference for interoperable data pipelines, clear IP/data rights, and shared clinical trial execution capability. | TA3: Scalable Implementation, TA2: Supervisory Agent |
| Harry Kunze | Fortem Genus, Inc., SDVOSB | harrykunze@fortemgenus.com | Fayetteville, NC | iDetect screens for hypertension using smartphone-based external eye imaging and multimodal AI/ML. COVID-19 proof-of-concept (22K images): 92% AUROC, accepted for publication by Scientific Reports. Partnered with U. Arkansas Little Rock. Multimodal architecture improved hypertension detection from 47.4% sensitivity/84.0% specificity to 76.4% sensitivity/96.9% specificity. FDA SaMD Class II 510(k) pathway defined. Service-Disabled Veteran-Owned Small Business. | We seek TA1 teams building patient-facing CVD agents and TA3 health systems who need hypertension screening to identify undiagnosed patients for autonomous management. Ideal partners include academic medical centers with cardiovascular clinical trial infrastructure, health systems serving rural/underserved populations, and teams with EHR integration expertise. We offer a validated screening technology platform that identifies undiagnosed hypertensives at scale for AI agent enrollment. | TA1: CVD Agent, TA3: Scalable Implementation |
| Eigil Samset | GE HealthCare | eigil.samset@gehealthcare.com | Waukesah, WI | We envison an ecosystem that integrates diagnostics, image guidance and therapy to enable patient-centered precision care. | We are looking for healthcare systems to co-develop problem statement and cross-validate solutions. We are looking for tech-developers to accelerate agentic AI and other key component of an end-to-end digital solution. | TA3: Scalable Implementation, TA1: CVD Agent |
| Kevin Coyle | Geisinger | kcoyle1@geisinger.edu | Danville, PA | Geisinger focuses on applied clinical AI and real-world deployment, including cardiovascular risk prediction, care pathway optimization, population health management, and AI-enabled clinical decision support. Our work emphasizes EHR-integrated workflows, prospective validation, safety monitoring, and measurable impact on outcomes, access, and cost across diverse and rural populations. | We are interested in partnering with industry teams developing agentic AI platforms, foundation models, or clinical decision engines, particularly those seeking a health system partner for real-world implementation, workflow integration, safety supervision, and clinical validation at scale within cardiovascular care. | TA3: Scalable Implementation, TA2: Supervisory Agent |
| Ashish Atreja | GenServe.AI | aaatreja@stanford.edu | 1011 Miller Drive, Davis CA, CA | GenServe.AI provides one of the leading platforms to bring multiple LLMs at scale with AI assistants in HIPAA compliant manner to large healthcare enterprises. To address the increase clinical demand and close care gaps, we have recently launched GENIE TM to bring industry's first vendor-agnostic Voice + clinical agentic modules orchestration and in human-in-the loop command center. https://genserve.ai/genserve-ai-launches-genie/ | We are seeking collaborators with academic centers as well as large integrated delivery network, with expertise in holistic LLM and agentic validation and real-world implementation at scale. We have partnership in place with all three cloud vendors, California Medical Association and strong relationship with American College of Cardiology for evidence-based heart failure guidelines. As a vendor agnostic platform built from health system team, we will love to team with other applicants | TA1: CVD Agent, TA2: Supervisory Agent |
| Julia Komissarchik | Glendor, Inc | julia@glendor.com | Draper, UT | Glendor is on a mission to safeguard patient privacy while accelerating medical innovation. With its automated, at-source, at-scale PHI detection technology, Glendor enables healthcare data custodians to share and aggregate multimodal medical data —advancing clinical research, AI model training, and real-world evidence generation without compromising patients’ privacy. Glendor’s customers include government, hospitals, lab networks, pharmaceuticals, AI companies, and medical data lakes. | We provide PHI detection & de-id software solution. We are looking for partners who would like to deidentify their and their contributors' data on their sites (on premises or in the cloud). Use Case 1: deidentification of data before it is shared, to ensure that there are no HIPAA violations Use Case 2: deidentification of data before it enters the exchange or partner site, to ensure that there are no HIPAA violations PHI Sanitizer can be used standalone or to augment existing workflow. | TA2: Supervisory Agent, TA1: CVD Agent |
| Christalyn Rhodes | Harmonie Health | christalyn@harmoniehealth.ai | Framingham, MA | Harmonie focuses on wearable enabled, multi-modal physiologic, sensing for continuous cardiovascular sensing and monitoring. We are building a large scale, heartbeat bank that aggregate, cardiac and autonomic signals across populations to evaluate efficacy of medication and interventions in real world settings. Our architecture is designed to ingest in normalized data from multiple wearable devices, producing agent ready signals that support risk, stratification and treatment decisions. | We are looking for partners with expertise in cardiovascular clinical workflows and healthcare system deployment. We are interested in collaborators building TA2 Supervisory Agents, as well as health systems able to support clinical validation. Ideal partners bring strengths in regulatory strategy, EHR integration, and scalable implementation of supervised, patient-facing cardiovascular care models. | TA1: CVD Agent, TA2: Supervisory Agent |
| Mahdi Moqri | Harvard | mmoqri@bwh.harvard.edu | Boston, MA | EHR-integrated AI agents in Mass General Brigham | CVD, agentic AI, mobile app development | TA2: Supervisory Agent |
| Conor Walsh | Harvard Move Lab | walsh@seas.harvard.edu | Boston, MA | Our research focuses on wearable biomechanical and physiological sensing and the development of integrated multimodal systems using both custom and off-the-shelf sensors. We develop signal processing, machine learning, and AI methods to extract clinically meaningful metrics, supported by extensive human subjects research, patient and clinician engagement, and strong access to clinical partners. | We are seeking to team with organizations leading ADVOCATE proposals that have complementary expertise, particularly deep cardiovascular and clinical domain knowledge, as well as experience in medical device development and regulated medical software. We are especially interested in partners engaged in real-world clinical deployment and evaluation. | TA1: CVD Agent, TA2: Supervisory Agent, TA3: Scalable Implementation |
| Arjun Manrai | Harvard University | Arjun_Manrai@hms.harvard.edu | Boston, MA | Development and evaluation of AI systems in diagnostic and management reasoning, human-computer interaction, scalable oversight. | Industry partners with expertise in AI deployment. | TA3: Scalable Implementation, TA2: Supervisory Agent |
| Mehdi Tarrit Mirakhorli | Hawksbill | mehdi.mirakhorli@hawksbill.ai | Honolulu, HI | Agentic AI Safety, Security and Trust: Hawksbill specializes in AI assurance, and agentic governance. We develop independent supervisory agents that monitor clinical AI for safety, risk, and uncertainty in real-time. | We are addressing TA2: Supervisory Agent as prime. We are looking for academic partners, cardiovascular clinicians & experts in chronic CVD, such as heart failure and post-myocardial infarction, to define safety guidelines | TA2: Supervisory Agent |
| Jeff LeBrun | Health Elements AI | jeff@healthelements.ai | Seattle, WA | We streamline cardiovascular quality reporting and surveillance with modern AI (LLMs). The Health Elements Carbon platform is certified by all of the major cardiovascular societies (ACC, AHA, STS) to support with data abstraction and submission to their clinical quality registries. | We are interested in teaming up with people who are focused on developing fully autonomous agents and scaling partners. Our platform would be a good fit to provide the supervisory / quality layer. | TA2: Supervisory Agent, TA1: CVD Agent |
| Vinay Pai | Health Tequity, LLC. | vinay@healthtequity.net | Berkeley, CA | Our digital care coordination and remote patient monitoring platform for populations in rural and underdeveloped communities enables community hospitals to improve care by timely outreach to patients with chronic conditions. We are funded to develop AI-based digital twins for chronic diseases, and to develop agentic AI approaches for multi-language mobile apps and voice navigations. We are using agentic AI approach with RPM and EHR data to identify digital biomarkers for perimenopause/menopause. | We are looking to be a sub to a larger clinical organization which has access to a significant population base with chronic cardiovascular disease, and to a team of cardiologists such that any agentic content we develop has expert clinical perspective brought to bear on it. Additionally, since we are a startup, we would need to team up with partners to scale up operations so that our solutions can be usable across multiple hospital systems. | TA1: CVD Agent, TA2: Supervisory Agent |
| Kenneth Watson | HealthLink360 | kwatson@healthlink360.ai | Baltimore, MD | HealthLink360’s research focuses on safety-governed, agentic AI for preventive and transitional care. We develop supervisory and oversight systems that monitor AI-driven health interventions for risk, uncertainty, and drift; support human-in-the-loop escalation; and enable interoperable, standards-based integration with clinical workflows. Our work emphasizes cardiometabolic risk, post-discharge recovery, engagement, and adherence across diverse care settings. | We are seeking partners with complementary expertise in clinical AI development, health system implementation, regulatory science, and evaluation. Ideal collaborators include health systems interested in piloting safe, supervised AI workflows; TA1 developers building clinical agents; and teams with strengths in interoperability, data governance, and safety assessment to support scalable, trustworthy deployment. | TA2: Supervisory Agent, TA1: CVD Agent |
| Sherry-Ann Brown | Heart Innovation & Equity Research (HIER) Institute | drbrowncares@gmail.com | Miami, FL | Heart Innovation & Equity (HIER) Institute supports collaborations that enable real-world clinical deployment, evaluation, and scale of agentic AI in cardiovascular care. We collaborate with health systems and clinics with EHR access and active patient populations, including rural and community-based settings, to support workflow integration, validation, and implementation at the point of care. Our work emphasizes safe, governed adoption through clinical quality, regulation, and operations. | We support collaborations with digital health partners, health systems, and cardiology practices to deploy, evaluate, and scale agentic AI in real cardiovascular care settings. Our expertise spans EHR integration, workflow co-design, regulatory-informed implementation, patient- and clinician-centered design, synthetic data development, and large-scale validation to enable safe, durable translation into routine care. | TA3: Scalable Implementation, TA2: Supervisory Agent |
| Jeff Wessler | Heartbeat Health | jeff@heartbeathealth.com | New York City, NY | Scaled virtual cardiology care delivery organization - primary focus are is primary care and older adults across US. | opportunities that need scaled virtual cardiology practice to assess impact or to roll out models | TA3: Scalable Implementation |
| Dr. Morteza Naghavi | HeartLung Technologies | drnaghavi@heartlung.ai | Houston, TX | HeartLung focuses on developing and commercializing AI-enable solutions for early detection and prevention of cardiovascular disease, lung cancer, COPD, osteoporosis and other diseases through a single low-dose chest CT scan. | HeartLung seeks to serve as an integration hub within ADVOCATE by teaming with complementary performers to co-develop, validate, and deploy AI-enabled CVD agents. We aim to enable integration of diagnostic imaging, particularly CT, into ADVOCATE’s end-to-end care framework, partnering with groups contributing sensing, behavioral or therapeutic actions, implementation science, and health-system deployment, linked through our AI-CVD and LIFEMAP infrastructure. | TA1: CVD Agent, TA3: Scalable Implementation |
| Emily Lussier | Hopscotch Primary Care | emily.lussier@hellohopscotch.com | Various (Western North Carolina), NC | Hopscotch Primary Care is a value-based, tech-enabled primary care organization serving rural and underserved communities. We deliver longitudinal, whole-person care through integrated clinical teams, advanced analytics, and AI-enabled workflows. Our work focuses on risk stratification, care management, and clinical decision support. We employ providers and operate brick-and-mortar primary care clinics that enable rapid testing, evaluation, and scaling of technology-enabled care models. | We are seeking partners developing agentic AI, predictive analytics, or digital health tools that can be embedded into real-world clinical workflows. Ideal collaborators bring technical innovation, model development, or novel sensing/decision support capabilities and are interested in piloting, validating, and scaling solutions within a value-based, rural care delivery setting. | TA3: Scalable Implementation |
| Adam Renner | Idea Mind LLC | adam.renner@ideamind.us | Columbus, OH | Idea Mind is currently focused on the integration of agentic technologies with physiological sensor data and the development of AI driven physiological simulations. | We specialize in engineering, software development, and commercialization. We are looking to partner with teammates with strong health and medical backgrounds that can provide subject matter expertise as well as academic partners with unique AI tools that we can help implement, test, prototype, and commercialize | TA2: Supervisory Agent, TA1: CVD Agent |
| Nikhil Roy | Innovaccer | nikhil.roy@innovaccer.com | San Francisco, CA, CA | Developing clinical AI agents for cardiovascular care, with emphasis on: (1) Heart Failure GDMT titration pathways using agentic workflows to optimize medication management, (2) Small language models fine-tuned for cardiology clinical decision support, (3) Voice AI for patient care navigation and remote monitoring, (4) Automated clinical documentation and care coordination. Focus on reducing clinician burden while improving adherence to evidence-based guidelines. | Seeking partners with complementary capabilities: (1) Clinical evaluation frameworks and benchmarking for healthcare AI safety/efficacy, (2) Observability infrastructure for monitoring AI agent behavior in clinical settings, (3) Health system partners for real-world validation and deployment, (4) Regulatory/compliance experience with FDA and healthcare AI governance. Open to academic medical centers, health tech companies, and AI safety researchers | TA1: CVD Agent, TA2: Supervisory Agent |
| Eric Stecker | Insight Health AI | eric@insighthealth.ai | Portland, OR | Insight Health launched the first autonomous AI clinical agent in 2023. Our patient-facing agentic AI performs intake, history capture, follow-up, and adherence assessment -100K+ autonomous conversations across cardiology and other specialties to date. We integrate with most major EHRs serving practices of all sizes. Our SAFEai framework delivers continuous safety monitoring and HIPAA compliance, establishing the foundation for an FDA-ready clinical AI deployment. | Seeking: (1) TA2 partners with expertise in AI safety/alignment, post-deployment monitoring, and supervisory AI systems; (2) Rural health systems with challenges in accessing specialty care for TA3 scalability studies; (3) FDA regulatory expertise for high-risk AI medical device pathways; (4) Academic partners with cardiovascular clinical trial infrastructure; (5) Wearable device and remote monitoring technology companies | TA1: CVD Agent, TA2: Supervisory Agent, TA3: Scalable Implementation |
| Ram Prasad | InvictusLabs LLC | info@invictuslabs.ai | Greater Philadelphia, PA | InvictusLabs is on the mission to leverage the convergence of data, connectivity, and advances in computing and AI to optimize Intrinsic Capacity and Extend Human Healthspan. We are developing a comprehensive, highly personalized digital-twin platform that models an individuals physiological and resilience dynamics. This will deepen our understanding of human physiology, predict responses and adaptations to behavioral and environmental stimuli, and enable proactive, preventive interventions. | Broad and deep experience with regulatory bodies, compliance and documentation requirements. | TA1: CVD Agent, TA2: Supervisory Agent |
| Mintu Turakhia | iRhythm Technologies | mintu.turakhia@irhythmtech.com | San Francisco, CA | iRhythm’s research focuses on advancing continuous cardiovascular monitoring, AI-enabled signal interpretation, EHR integration, and scalable care delivery. Core areas include ambulatory ECG analytics for arrhythmia detection and risk stratification; next-generation sensor technologies or heart failure; risk prediction for population health for CV events; optimization of clinical workflows and triage; and regulatory-grade evidence generation, and safety monitoring of AI-enabled medical devices. | iRhythm seeks teaming partners with complementary expertise in agentic AI architectures, real-time multimodal data integration, and development of agents-in-the-loop or clinical oversight. Ideal partners bring proven experience in agentic/LLM AI for clinical decision support and clinical action, with a shared commitment to transparency, rigorous evaluation, and scalable deployment in real-world cardiovascular care. | TA1: CVD Agent, TA3: Scalable Implementation |
| Ajay Srivastava | ISHI Health | ajay@ishi.health | San Diego, CA | ISHI Health focuses on applied clinical research using AI and real-world EHR and device data to identify, stratify, and manage complex cardiac and cardiometabolic disease. Our research emphasizes novel feature engineering for scalable virtual care pathways to enable interventions, optimize therapy, reduce hospitalizations, and improve equitable access to specialty cardiac care. | ISHI Health seeks teaming partners including health systems and research organizations interested in co-developing next-generation AI agents for cardiovascular care. ISHI brings deep clinical expertise, a proprietary AI-enabled platform, and multiple AI agents already deployed in commercial use. Ideal partners have engineering or research capabilities, access to real-world data, and interest in expanding agent-based use cases across cardiovascular care. | TA1: CVD Agent, TA2: Supervisory Agent |
| Mwisa Chisunka | John Snow Labs | mwisa@johnsnowlabs.com | Lewes, DE | We are a leading provider of healthcare LLM & NLP models with peer reviewed accuracy and broad adoption for information extraction, de-identification, linking and Q&A on multimodal clinical data (80+ public case studies). We advance agentic AI with continuous assurance for safe, auditable, compliant behavior at scale: real time monitoring, explainability, bias/uncertainty detection. Creators of Spark NLP (150M+ downloads, 100K+ models), LangTest, and an AI Policy Suite mapping to 250+ standards. | We seek partners to deploy trusted agentic cardiovascular care: cardiology/heart failure clinical leaders to define safe pathways and acceptance criteria; TA1 teams building patient-facing CVD agents; TA2 partners providing continuous assurance (real-time monitoring and explainability); TA3 health systems/research networks with longitudinal CVD EHR/outcomes data and test environments; wearable/RPM partners for continuous physiologic signals; and regulatory partners for FDA-ready validation. | TA2: Supervisory Agent, TA1: CVD Agent |
| Ida Sim | JupyterHealth | ida.sim@ucsf.edu | San Francisco and Berkeley, CA | JupyterHealth is an open-source modular platform that extends Jupyter tools to healthcare for both open source and proprietary digital health and AI solutions. JupyterHealth simplifies patient data acquisition from wearables, IoT devices, mobile apps, and EHRs and eliminates data silos by integrating real-time health data into a unified, secure, and AI-ready ecosystem. The platform has built-in health data standards, data models, and APIs for seamless integration into health systems. | We are open to non-exclusive partnerships with teams that are interested in leveraging and contributing to open-source software and participating in open-source communities to advance ecosystem-wide research capabilities and patient care outcomes. We believe that working on focused projects such as ADVOCATE is the best way to achieve sustained impact through individual solutions as well as platform enhancements. JupyterHealth’s legal structure is fully compatible with proprietary objectives. | TA1: CVD Agent, TA3: Scalable Implementation |
| Ankeet Bhatt | Kaiser Permanente/TPMG | Ankeet.s.bhatt@kp.org | San Francisco, CA | We are the largest fully integrated, non governmental healthcare delivery system in the united states. | Other leading fully integrated, value based, healthcare delivery systems | TA3: Scalable Implementation, TA1: CVD Agent |
| Sirtaz Adatya | Kaiser Permanete | sirtaz.adatya@kp.org | Santa Clara, CA | Heart failure, risk assessment and remote monitoring. | scalable AI enabled, wearable remote monitoring. | TA3: Scalable Implementation, TA3: Scalable Implementation |
| Rick Christiansen | Karoo Health | rick.christiansen@karoohealth.com | Albuquerque, NM | Karoo health focuses on scalable value-based cardiovascular care models that improve outcomes and reduce cost. Our work integrates cardiology-led care delivery, advanced analytics, clinical workflows and payer alignment to manage high risk populations, close care gaps, and translate innovation into real world clinical impact that improves outcomes and reduces the total cost of care. | We seek partners with breakthrough clinical, diagnostic, digital, or data driven interventions that are seeking expertise in cardiovascular disease and a real world implementation platform. Ideal collaborators will bring novel science or technology that can be piloted, validated, and scaled across cardiology provider networks, health system, and payer environments | TA3: Scalable Implementation, TA1: CVD Agent |
| Aneesh Pakala | Karoo Health | aneesh.pakala@karoohealth.com | Edmond, OK | Our work is centered on building scalable cardiovascular care models that improve patient outcomes whole reducing unnecessary cost and variation. We focus on integrating cardiology-led analytics, and evidence-based workflows to identify high-risk patients, close care care gaps, and translate innovation into consistent, real-world care delivery. | We are looking for digital innovators looking for a practical path to real-world innovation that can be clinically and financially validated. | TA3: Scalable Implementation, TA1: CVD Agent |
| Brian Hu | Kitware, Inc. | Brian.hu@kitware.com | Arlington, VA, VA | We are interested in innovative applications of AI to healthcare, such as for medical image analysis, diagnosis, and triage (including in austere environments). Our team leverages recent advances in multimodal AI, including computer vision and natural language processing, and has extensive work on the use of large language models (LLMs), AI alignment, and model benchmarking for the medical domain. We are also experts in open source software and toolkit development and sustainment. | We are currently exploring TA2 (but potentially also open to TA1), and looking for teaming partners with expertise in understanding and treating cardiovascular disease, as well as those who have experience navigating the regulatory landscape. | TA2: Supervisory Agent, TA1: CVD Agent |
| Richard Meiklejohn | Lahey Hospital & Medical Center, Part of Beth Israel Lahey Health - Burlington, MA | richard.meiklejohn@lahey.org | Burlington, MA | BILH and the Lahey Innovation Hub focus on supporting the development and safe, effective implementation of leading AI solutions. Research priorities include validating AI/ML for clinical decision support, implementing generative AI to optimize workflows and reduce burnout, and ensuring human-centered AI through bias mitigation and safety protocols. By leveraging the ARPA-H network, they transition these breakthroughs into community settings to improve health equity and outcomes. | BILH and the Lahey Innovation Hub seek teaming partners that offer complementary technical expertise to bridge the last mile of healthcare delivery. | TA3: Scalable Implementation |
| Sanjeev Wadhwa | Life Singularity, Inc. | Sanjeev.Wadhwa@LifeSingularity.com | Basking Ridge,, NJ | Life Singularity is an NVIDIA Inception/Microsoft-backed startup building "Agentic Digital Twins" for CVD prevention. Our AI platform integrates clinical, genomic, environmental and SDOH data from 150M+ patient records to simulate "1,000+ futures," identifying the "Prime Mover" of disease cascades (e.g., Diabetes -> CHF). We utilize a multi-agent "Council" architecture (NVIDIA NIM/NeMo) to operationalize our validated "Comorbidity Compression" predictive engine - developed with health/pharma cos | We seek a PRIME (Health System or Integrator) for TA3 clinical validation and TA2 sensor partners. We provide the "TA1 CVD Agent" and "TA2 Supervisory Reasoning" layer and a validated predictive engine for multi-chronic condition cascade: a TRL-6, NVIDIA-native Agentic architecture ready for deployment. We need partners with patient populations (TA3) and novel sensors (TA2) to feed our "Deep Phenotyping" engine. | TA1: CVD Agent, TA2: Supervisory Agent |
| selina zhu | Lumia Health, Inc | selina@lumiahealth.com | Boston, MA | Lumia Health focuses on autonomous hemodynamic monitoring to prevent heart failure decompensation. We have developed an earpiece wearable that tracks corrected carotid flow time, BP trends, and postural metrics with "5G caliber" signal quality. Validated against gold-standard TCD (r=0.91), our technology serves as a clinician-extender, providing the high-fidelity real-time data required for agentic AI to manage fluid status and modify prescriptions autonomously. | We offer high-fidelity hemodynamic data (eCBF, BP trends) to "fuel" autonomous decision-making. We seek Health Systems (TA3), particularly those focused on heart failure management, to co-design workflows that integrate our ear-wearable as a "clinician-extender" for 24/7 remote monitoring and proactive intervention. | TA1: CVD Agent, TA3: Scalable Implementation |
| Ruslan Nazarenko | Lumos AI | ross@thelumos.ai | San Francisco, CA | We build evaluation environments to support evals of complex multi-turn long horizon tasks performed by health AI agents | Model and agent builders who want to understand how to improve accuracy, safety, and performance of their agent | TA2: Supervisory Agent, TA3: Scalable Implementation |
| Antonis Armoundas | Massachusetts General Hospital/CVRC | Armoundas.Antonis@mgh.harvard.edu | Boston, MA | My laboratory at Massachusetts General Brigham focuses in developing novel signal processing and artificial intelligence-based, medical grade technologies aiming to improve ambulatory-patient cardio-respiratory monitoring, and outcomes. We conduct clinical studies and capitalize on 2 M digital patient data, that span 50 years, to develop and train multimodal algorithms, that can be seamlessly translated and integrated into clinical workflows. | Similar minded investigators, seeking to develop patient-clinician driven technologies | TA1: CVD Agent, TA3: Scalable Implementation |
| Chris Mattmann | Mattmann.AI, LLC | chris@mattmann.ai | Los Angeles, CA | Mattmann.AI, LLC focuses on applied AI systems for high-stakes, safety-critical domains, including agentic AI architectures, multimodal data fusion, real-time decision support, and human-AI teaming. Current work emphasizes scalable AI evaluation environments, trustworthy model deployment, clinical workflow integration, and AI governance for regulated settings, with experience translating research prototypes into operational systems. | We seek clinical, biomedical, and translational partners with access to cardiovascular data, care pathways, and real-world clinical workflows. Ideal collaborators include health systems, device developers, and research groups interested in co-developing, piloting, and validating agentic AI systems for cardiovascular decision support, monitoring, and care coordination in real clinical environments. | TA1: CVD Agent, TA2: Supervisory Agent, TA3: Scalable Implementation |
| Khaled Younis | MedAiConsult | kh.younis@gmail.com | Cleveland, OH | MedAiConsult focuses on agentic AI safety, supervisory and monitoring frameworks, and regulatory-aligned deployment of clinical AI systems. Our work emphasizes disease-agnostic oversight agents, real-time risk and uncertainty assessment, auditability, model drift detection, and human-in-the-loop controls. We also support interoperability with EHRs and wearables using HL7 FHIR and related standards. | We are seeking TA1 and TA3 partners developing patient-facing CVD agents or operating clinical environments who value strong safety, monitoring, and regulatory readiness. Ideal partners include teams building agentic clinical systems, health systems participating in deployment studies, and organizations open to integrating independent supervisory agents for oversight, validation, and post-market monitoring. | TA2: Supervisory Agent, TA1: CVD Agent |
| Junmyung Kwon | Medical AI Inc. | jm.kwon@medicalai.com | Arlington, VA | Our research focuses on AI-powered cardiovascular diagnostics from ECG. We develop foundation models trained on large-scale bio-signals, then fine-tune disease detectors (e.g., LV systolic dysfunction/heart failure, MI, valve disease). We validate clinically, deploy securely on-prem in hospitals, and optimize models for edge and smartwatch apps. Our AI-ECG has been adopted by 100+ major hospitals with 2M+ paid prescriptions. - https://shorturl.at/SGAVz - https://lnkd.in/gPsa8u-z | We seek partners: (1) Hospitals to run/lead projects, recruit patients, and support real-world deployment; (2) health-IT firms with EMR integration & interoperability expertise (HL7/FHIR, DICOM, workflows across EHRs)in US; (3) AI companies to build and validate agentic workflows. We are flexible on leadership—if another partner should lead, we can serve as a key performer for biosignal analytics and AI using smartwatch and health-system data. | TA1: CVD Agent, TA2: Supervisory Agent |
| Nada Hanafi | MedTech Strategy Advisors, LLC | nada@medtechstrat.com | San Jose, CA | We offer product development, regulatory and clinical strategy advice, including evidence development and representation with FDA from presub through marketing submissions. | Provide product development, regulatory, clinical and support for teams. | TA1: CVD Agent, TA2: Supervisory Agent |
| Byron Yount | Mercy | byron.yount@mercy.net | Saint Louis, MO | Design/Development/Deployment and Scaling of AI Assistants / Agents within workflows with orchestration in both non-clinical and clinical operations settings with internal innovation teams and partners. Advancing process and decision intelligence systems. Creating and deploying value frameworks for measuring value promise and capture of AI solutions. Embedding enablement functions across the enterprise. | Value and charism alignment. Firms with deep experience in building solutions that integrate services and products to support value realization at scale. Firms with deep technical expertise in building modular solutions with high interoperability. Agentic AI know-how. Commitment on the consumer and creating workflows that remove traditional constraints in healthcare. | TA3: Scalable Implementation, TA2: Supervisory Agent |
| John Wall | MiiHealth AI | john@miihealth.ai | Phoenix, AZ | MiiHealth AI created DAINA, a Dynamic AI Intake and Navigation Agent that autonomously gathers patient histories and generates structured notes before each visit. In late 2025, Mayo Clinic Cardiology validated DAINA in a clinical trial with arrhythmia and oHCM patients on Camzyos. DAINA achieves 93% patient ease of use and saves providers eight minutes per encounte, over two hours daily, streamlining intake and reducing burnout. | MiiHealth AI seeks NIH teaming partners to build a comprehensive cardiology agent that extends beyond intake to include medication reconciliation, triage, and patient services. Ideal partners include academic institutions to validate user experience and clinical protocols, health systems and research hospitals to implement and test at scale, and EHR vendors or digital health innovators to ensure seamless integration and interoperability for maximum clinical impact. | TA1: CVD Agent, TA3: Scalable Implementation |
| Nicole Sroka | Mind Moves | nicole@mindmoves.co | Washington, DC | Mind Moves' (DC-based WOSB) current research is focused on AI-powered biomedical QA systems, biomedical research, women's health research, Retrieval Augmented Generation (RAG), Chain of Thought (COT) reasoning, Hybrid evaluation combining human annotation with LLM-as-a-Judge, Humans-in-the-Loop (HITL) and SME-in-the-Loop (SILT) validation methods, as well as evidence-grounding strategies for AI trustworthiness in healthcare and clinical settings. | Mind Moves (DC-based WOSB) brings NIH-aligned responsible AI frameworks, hybrid evaluation methods ensuring trustworthiness, and proven experience translating biomedical research into safe, evidence-grounded AI health information systems. We seek teaming partners with experience in biomedical research, HIPAA-compliance, FDA/HHS regulatory alignment, cybersecurity, and clinical translation scientists to bridge AI outputs to cardiovascular care practice. | TA3: Scalable Implementation, TA2: Supervisory Agent |
| Hae Won Park | MIT | haewon@media.mit.edu | Cambridge, MA | Our research focuses on human-centered, agentic AI systems for healthcare that move beyond episodic decision-support tools toward persistent, collaborative agents embedded in real clinical workflows. We study how AI agents interact with patients, caregivers, and clinicians over time; how memory, autonomy, and initiative shape care trajectories; and how to design bounded authority, escalation, and oversight mechanisms to ensure safety, accountability, and trust in real-world deployment. | We seek teaming partners with complementary strengths in clinical domain expertise, health system deployment, and regulatory pathways, particularly those able to integrate agentic AI into real-world cardiovascular care settings. Ideal partners value human-centered design, longitudinal evaluation, and safety-by-design, and are committed to co-developing systems with clear role boundaries, oversight mechanisms, and evidence generation aligned with FDA and health system requirements. | TA1: CVD Agent, TA2: Supervisory Agent |
| SAJU VARGHESE | MOBOMO | saju.varghese@mobomo.com | DAMASCUS, MD | Mobomo builds award winning digital health applications with strong UX, mobile capability, and data integration. Our work on Pulse and our first place win in the NIOSH Respirator Fit Evaluation Challenge demonstrates our ability to combine science, AI, and user centered design to deliver solutions that support healthcare missions. We are a reliable partner for rapid prototyping, clinical grade interfaces, and scalable digital tools. | We are seeking teaming partners with complementary strengths in translational health, clinical research, AI modeling, data analysis, and commercialization. Ideal partners bring scientific expertise, access to clinical settings, validated data, or specialized evaluation capabilities. We value collaboration, speed, mission alignment, and a focus on turning research into practical and scalable solutions. | TA1: CVD Agent, TA2: Supervisory Agent |
| Girish Nadkarni | Mount Sinai Health System | girish.nadkarni@mountsinai.org | New York, NY | Effective and Safe Implementation of generative AI and AI agents, AI assurance, multimodal AI research | Human centered AI and technical expertise, expertise in Reinforcement learning with human feedback | TA3: Scalable Implementation, TA1: CVD Agent |
| Jayant Menon | Nahlia Inc | jayant@nahlia.com | Palo Alto, CA | Nahlia is funded by NASA to develop, a multimodal sensor fusion and AI/ML platform to monitor remote medical practice. (TA-2) we have also developed a no code interface to develop clinical decision support systems (TA-1) | We are looking for partners that are expert and cardiovascular disease management. | TA2: Supervisory Agent, TA1: CVD Agent |
| Kavitha Vimalesvaran | Newtons Tree | kavitha.vimalesvaran@newtonstree.com | London | Newton’s Tree focuses on real-time monitoring and evaluation of deployed clinical AI systems without compromising patient privacy. Our research addresses continuous performance surveillance, bias and drift detection, and socio-technical and user-experience metrics across imaging and non-imaging AI, including AVTs and X-ray applications, enabling safe, scalable, and responsible adoption. | We seek clinical, academic, and industry partners developing or deploying AI across healthcare domains. Ideal partners value rigorous real-world evaluation, prospective monitoring, and responsible governance, and are interested in integrating continuous oversight and risk mitigation frameworks into routine clinical workflows at scale. | TA3: Scalable Implementation, TA2: Supervisory Agent |
| Brandon Freeman | Nexus Healthcare | brandon_freeman@nexus.healthcare | San Diego, CA | Our focus is on biophysics-informed AI models leveraging training from clinical-grade human digital twin models. | Open to all teaming opportunities. | TA1: CVD Agent |
| Oliver Piepenstock | Noah Labs | oliver.piepenstock@noah-labs.com | Boston, MA | Noah Labs develops algorithms that detect worsening heart failure from speech and automate CHF care management. | Hospital health system partners for co-development & deployment. | TA1: CVD Agent, TA3: Scalable Implementation |
| June Lee, MD, PhD | NSMS | Dr.JuneLee@nsmsusa.org | Bethesda, MD | Founded March 1996, NSMS provides clinical leadership in "Clinical Intelligence for Agentic AI." Our elite experts (Cardiologists, Surgeons, Pharmacologists) specialize in requirements for GDMT titration and heart failure management. We design the "non-negotiable" safety logic and clinical guardrails for TA2 Supervisory Agents. For TA3, we focus on implementation science—integrating AI into EHR workflows (Epic/Cerner) to ensure non-inferiority, safety, and reduced clinician burnout at scale. | We seek TA1 partners (AI/ML engineers) developing patient-facing agentic LLMs who require a robust clinical "safety shell." We provide the domain expertise to build the TA2 Supervisory Agent, ensuring models operate within validated medical logic. We are specifically looking for teams pioneering Multi-modal Agentic Reasoning and Patient Digital Twins. We also seek Health System partners for TA3 to validate implementation in real-world environments (Epic/Cerner) and ensure clinician trust. | TA2: Supervisory Agent, TA3: Scalable Implementation |
| June Lee, MD, PhD | NSMS | Dr_JuneLee@yahoo.com | Bethesda, MD | Since 1996, NSMS has united clinician-scientists to enable safe autonomous care. We focus on TA2 (Supervisory) and TA3 (Implementation). Our Cardiologists, Pharmacologists, and Emergency Physicians serve as the "Ground Truth" experts, encoding strict clinical safety protocols into validation architectures. We bridge the gap between medical science and AI, providing the rigorous testing and real-world integration needed to deploy safe clinician-extenders. | We seek TA1 (CVD Agent) partners—specifically AI/ML developers and LLM architects. As a clinical lead for TA2/TA3, NSMS offers the "Ground Truth" validation your technology needs. We provide the Cardiologists and Pharmacists to define safety guardrails, oversee the "Supervisory Agent," and manage real-world implementation. We are looking for technical teams who need a clinical partner to ensure their agents are medically safe and deployable. | TA2: Supervisory Agent, TA3: Scalable Implementation |
| Devin Mann | NYU Langone Health | devin.mann@nyulangone.org | New York, NY | Our research focuses on deploying and evaluating AI-enabled, agent-supported clinical workflows in real-world health systems. We specialize in implementation, governance, safety, equity, and system-level impact of EHR-integrated and remote care technologies, translating emerging capabilities into scalable, high-reliability clinical operations within learning health systems. | We are seeking TA1 and TA2 partners developing AI agents and enabling technologies who prioritize real-world deployment, rigorous evaluation, and responsible translation. Ideal partners are motivated to collaborate in live clinical settings, iteratively refining agent performance based on workflow integration, safety, equity, and operational impact to support scalable adoption. | TA3: Scalable Implementation, TA2: Supervisory Agent |
| Timothy McCrimmon | Ohana Consulting LLC | tim@ohana-tech.com | Washington, NC | AI in healthcare with a focus on care plan adherence. Also have products to create, manage, deploy and monitor agentic compliance to internal and external standards via Structured Context. Context Engineering is best done with Structured Context. | Pilots, collaboration on open standards | TA2: Supervisory Agent, TA3: Scalable Implementation |
| Matthew Bishop | Open City Labs | matt@opencitylabs.com | White Plains, NY | Our AI Context Layer enables an intelligent middleware that orchestrates a diverse, multi-agent ecosystem. We don't replace clinical reasoning; we provide the nervous system that securely verifies context verifies the reasoning. By enabling multiple reasoning engines to plug and play securely, our vendor-agnostic architecture acts as the "DNS for Medical Truth," enforcing governance and validity across competing agents to create a transparent, interoperable foundation for safe healthcare AI. | We seek partners for a vendor-agnostic, multi-agent ecosystem. We provide the governance infrastructure; you provide the intelligence. We are recruiting: 1) Multiple Clinical Reasoning Partners to plug specialized AI models (diagnosis, Rx) into our network, 2) An Independent Academic Lead for supervisory oversight (TA2), and 3) Health Systems & HIEs for deployment. Join us to build the open, interoperable "DNS for Medical Truth" where diverse agents collaborate safely. | TA2: Supervisory Agent, TA3: Scalable Implementation |
| Jason Soled | Oracle Health | jason.soled@oracle.com | USA, VA | Oracle Health provides a leading electronic health records solution, interoperability solutions, Real World Data, and AI data platforms researchers can use to access data used in their medical research projects. Our system is what powers the FEHRM - Federal Electronic Health Records Management program. Oracle is one of the leading cloud service providers, as well, and has FEDRAMP high and moderate environments. | We would be seeking partnership with federal systems integrators to deploy and implement our technology. | TA1: CVD Agent, TA2: Supervisory Agent |
| Tanvi Jayaraman | Oura Ring | tanvi.jayaraman@ouraring.com | San Francisco, CA | Oura builds and validates health algorithms on top of continuous finger‑based PPG (palmar artery), temperature, HR, HRV, respiration, sleep stages, and activity from millions of high‑adherence ring‑wearers. Our research spans sleep, cardiometabolic and cardiovascular risk, women’s health, stress, and infection, with published and ongoing work with groups like UCSD, Stanford/Heartland, NEOM, and the US Army. | We offer a proven, ring‑based physiology platform (validated vs other wearables, high nightly wear, mature research APIs) and are looking for partners who can plug it into care. Ideal collaborators are cardiovascular programs, health systems, and AI teams who bring deep CVD expertise, EHR and data infrastructure, and trial capacity, and who want to use Oura’s continuous signals as the sensor layer for agentic care and safety monitoring. | TA1: CVD Agent, TA2: Supervisory Agent |
| Kuldeep Singh Rajput | OutcomesAI, Inc. | kuldeep@outcomes.ai | Boston, MA | OutcomesAI develops agentic AI systems for virtual care, combining patient-facing conversational agents, supervisory AI for continuous safety and performance oversight, and nurse-in-the-loop care delivery. Our research focuses on clinical-grade voice AI, guideline-constrained reasoning trained on ACC/AHA evidence, policy-bounded autonomy, and FDA-grade SaMD development to enable scalable cardiovascular care. | We seek complementary partners in cardiovascular clinical research, RPM and physiologic sensing, health system deployment, and independent validation. Ideal partners bring access to HF/post-MI, other CV populations, real-world outcomes data, or expertise in clinical evaluation and regulatory science to support safe, scalable deployment of agentic cardiovascular care. | TA1: CVD Agent, TA2: Supervisory Agent, TA3: Scalable Implementation |
| Tarik Metin | Pebl Health | tarmus1291@gmail.com | Baltimore, MD | Pebl Health develops and validates functional biomarkers for neurological disease and aging. We study pinch strength (3-pinch), tremor, and sensory metrics as longitudinal indicators of frailty/physical reserve. Our agentic AI converts these signals into the Pebl Score for risk stratification, early detection of decline, and treatment-response monitoring in real-world and clinical study settings. | Clinical and research partners to run IRB studies, access diverse cohorts, and compare Pebl Score against gold-standard outcomes (falls, disability, hospitalization). We also seek partners for EHR/workflow integration, biostatistics/ML collaboration, and regulatory/reimbursement pathway support. Hardware partners: DFM/manufacturing, calibration/QA, and supply chain at scale. | TA3: Scalable Implementation, TA1: CVD Agent |
| Sandeep Gulati | Peerbridge Health | s.gulati@peerbridgehealth.com | Nashville, CA | Peerbridge Health is a digital cardiology leader shifting heart care from reactive to continuous via its medical-grade COR™ wearables and "ECG-first" AI. Its platform uses explainable AI and an agentic orchestration layer to monitor risk, resilience, and decompensation in real time. Validated by large trials like COR-INSIGHT, Peerbridge detects over 70 indications and assesses heart failure risk, providing a 360-degree view of patient health across civilian and defense environments. | System of system fabric for deploying our COR260 agents for computing CardioMind, CardioQTSync indications and Quantum Resonance Interferometry enabled analytics at population level scale. | TA1: CVD Agent, TA2: Supervisory Agent |
| Andrew Omidvar | Philips | andrew.omidvar@philips.com | Washington, DC | One of the largest medtech companies in the world with cardiology, oncology and neurology operations. | New innovative ideas to scale up | TA3: Scalable Implementation, TA3: Scalable Implementation |
| Vladimir Shusterman | PinMed, Inc. | vs@pinmed.net | Pittsburgh, PA | 1) The design, development, and testing of clinical-grade cardiovascular RPM systems, including patient-facing (patient-activated and continuous-monitoring), sensor-integrated, wearable, mobile AI agents; 2) clinical testing in Midwestern healthcare networks, which include remote and rural hospitals with limited specialized care, where AI-based clinician-extenders would address important clinical needs; 3) real-time AI agents for prediction of life-threatening clinical events/decompensation. | We are interested in partnering with teams that have experience in designing and scaling AI agents, including LLM. | TA1: CVD Agent, TA3: Scalable Implementation |
| Vladimir Shusterman | PinMed, Inc. | vs@pinmed.net | Pittsburgh, PA | 1) The design, development, and testing of clinical-grade cardiovascular RPM systems, including patient-facing (patient-activated and continuous-monitoring), sensor-integrated, wearable, mobile AI agents; 2) real-time AI agents for prediction of life-threatening clinical events/decompensation; 3) clinical testing in Midwestern healthcare networks, which include remote and rural hospitals with limited specialized care, where AI-based clinician-extenders would address important clinical needs. | We are interested in partnering with teams that have experience in designing and scaling AI agents. | TA1: CVD Agent, TA3: Scalable Implementation |
| Michal Podlucky | POWERFUL MEDICAL | mpodlucky@powerfulmedical.com | New York, NY | POWERFUL MEDICAL develops clinical AI for cardiovascular care: multimodal ECG/imaging/data agents that detect and triage acute and chronic CVD (ACS, HF, arrhythmias), support longitudinal monitoring, and recommend care-pathway actions. We prioritize safety/validation, oversight, and seamless integration into clinical workflows for scalable deployment across diverse health systems. | POWERFUL MEDICAL is seeking partners who can help deploy and validate FDA-authorizable agentic AI for cardiovascular care: health systems/clinics for real-world trials across diverse settings; experts in regulatory, quality, and reimbursement; EHR/workflow integrators; and partners for continuous monitoring (wearables/remote patient monitoring), patient engagement, and AI safety/overseer monitoring. | TA1: CVD Agent, TA3: Scalable Implementation |
| Michael Craige | Precoh LLC | craigemi@precoh.com | Atlanta, GA | Precoh's current research focuses on building safe, deployable AI systems that operate at the intersection of clinical care, real-world clinical data, and regulatory accountability, especially in high-impact disease areas like cardiovascular disease. At the core of our work is clinical and agentic AI for decision support and care orchestration. We research how AI agents can safely assist with longitudinal patient management, risk stratification, therapy optimization aligned with standard of care | Specifically, we seek partners with: Deep clinical credibility in cardiovascular care and access to diverse patient populations. Operational healthcare experience, health systems, clinics, or platforms that can support real deployment, workflow integration, and clinician adoption. Technical depth that complements ours, such as sensing, imaging, devices, or specialized AI components that plug into an agentic system rather than stand alone. | TA1: CVD Agent, TA2: Supervisory Agent |
| Pervej Alam | Pulpdigital | ravi.kondadadi@cetusdigital.com | Eden Prairie, MN | PulpDigital develops agentic AI for clinical patient engagement, focusing on cardiovascular care. Our research areas include 1. Conversational AI with health literacy adaptation 2. Graph-based clinical knowledge representation for medical protocols 3. Reinforcement learning for personalized patient engagement optimization, 4. Multi-agent safety architectures with human-in-the-loop escalation and 5. Small language model optimization for secure hospital deployment. | We seek health system partners with cardiovascular patient populations and clinical expertise in heart failure, hypertension, and cardiac procedures. Ideal partners offer: 1. Access to pilot deployment sites within hospital IT infrastructure, 2. Cardiology and nursing SMEs for protocol validation 3. Research infrastructure including IRB support and outcomes tracking 4. EHR integration capabilities. We also welcome regulatory consultants with FDA SaMD experience. | TA1: CVD Agent, TA2: Supervisory Agent |
| Gaurav Agarwal | RagaAI Inc. | gaurav@raga.ai | San Francisco, CA | RagaAI Catalyst is a software platform designed to help teams test, evaluate, debug, and monitor artificial intelligence systems — including large language models (LLMs), AI agents, computer vision models, and structured/tabular models. It automates checks to find issues, explain root causes, and help fix problems before deployment, aiming to reduce risk and improve quality. Currently used by many Healthcare institutions, RagaAI is the only platform in the Healthcare space | Help scale this | TA2: Supervisory Agent, TA1: CVD Agent |
| Armando Cuesta | RealMD AI | ac@realmdai.com | San Francisco, CA | Agentic clinical AI for cardiovascular care: safe triage, longitudinal risk monitoring, and care plan adjustment under clinician oversight. Focus on real-world deployment in diverse settings with audit-ready documentation. | Seeking partners with: (1) health system sites and cardiology clinical leadership for prospective validation and deployment; (2) expertise in FDA SaMD/QMS and clinical trials for autonomous/agentic systems; (3) access to longitudinal cardiovascular data streams (EHR, claims, wearables, imaging) and outcomes; (4) implementation + integration teams (EHR workflow, care management, telehealth ops). | TA1: CVD Agent, TA2: Supervisory Agent |
| Anton Kim | Regain, Inc. | kim.anton@gmail.com | San Diego, CA | Patient-facing clinical AI for cardiovascular disease (HF/post-MI). Our system uses Popperian reasoning (explanation-driven assessment to synthesize RPM, wearables, labs, and EHR data into actionable care). Clinician-in-the-loop for treatment decisions. Pilot study complete. More info about our approach here: https://regain.ai/about/en/epistemology/ | Seeking health system partners for TA3 clinical integration and deployment. Ideal partners: academic medical centers, cardiology networks, VA health systems, or community clinics with HF/post-MI patient populations. Also interested in: EHR integration specialists (FHIR/HL7), clinical informaticists, cardiologists/HF specialists as advisors, and regulatory consultants with FDA SaMD/AI experience. We bring working technology (TA1) and safety infrastructure (TA2); seeking deployment pathways. | TA1: CVD Agent, TA2: Supervisory Agent |
| Jarod Baker | Regenstrief Institute | bakerjar@regenstrief.org | Indianapolis, IN | Regenstrief Institute focuses on three primary areas: Biomedical Informatics, Health Services Research, and Aging Research. Key initiatives for 2024–2028 include Learning Health Systems and Health Disparities. Current projects emphasize AI/Machine Learning for risk prediction, Brain Health (Alzheimer's and dementia), Public and Population Health Informatics, and global Health Data Standards like LOINC®. | Regenstrief Institute seeks partners to bridge the gap between research and real-world impact. For the ADVOCATE program, they likely look for collaborators with complementary expertise in agentic AI development, regulatory navigation, or commercialization to scale innovations. They prioritize multidisciplinary teams (academia, industry, health systems) to solve complex challenges in clinical workflows, population health, and health equity. | TA3: Scalable Implementation, TA2: Supervisory Agent |
| Ge Wang | Rensselaer Polytechnic Institute | wangg6@rpi.edu | Troy, NY | AI medical imaging and image analysis | Medical data sources | TA1: CVD Agent, TA2: Supervisory Agent |
| MaryAnne Rizk | Rizk Management AI Advisors | Maryanne@rizkadvisors.AI | NY, NY, NY | Rizk Management AI Advisors focuses on foundational infrastructure for agentic AI in healthcare, emphasizing deterministic grounding, interoperability, and trust. Our work centers on harmonizing multimodal clinical data (EHR, imaging, wearables, SDOH) using open standards (FHIR, NGSI-LD) to enable explainable, auditable, and scalable clinical intelligence that supports equitable deployment across diverse care settings. | We seek mission-aligned, vendor-neutral partners with strengths in clinical research, data infrastructure, AI/ML, and workflow deployment. Ideal partners value open standards, rigorous governance, and responsible AI, and are committed to collaboration across disciplines to translate innovation into scalable, real-world clinical impact across varied healthcare environments. | TA3: Scalable Implementation, TA2: Supervisory Agent, TA1: CVD Agent |
| Ashlie "Ben" Hocking | RTX Technology Research Ctr | Ben.Hocking@rtx.com | East Hartford, NH | RTX Technology Research Center (RTRC) focuses on AI for safety-critical autonomous systems. Our research emphasizes agentic AI, human–AI teaming, uncertainty-aware reasoning, and independent supervisory control. Additionally, we specialize in runtime monitoring, assurance, formal methods, and post-deployment oversight of autonomous agents, enabling trustworthy operation and continuous improvement in high-risk domains. | We seek teaming partners with deep clinical and healthcare delivery expertise, including CVD care, care pathway design, and real-world clinical operations. Ideal partners bring experience with medical data, regulatory environments, and clinical validation to complement our strengths in AI, autonomy, and safety-critical system assurance. | TA1: CVD Agent, TA2: Supervisory Agent |
| Brittani Bilse | Rural Health Innovators | bb@brittanibilse.com | Austin TX, TX | Rural Health Innovators is actively focused on the federal initiatives like the CMS Rural Health Transformation Program (RHTP) to advance the process of adoption, use, outcome, and payment strategies necessary to integrate technologies like AI, remote patient monitoring (RPM), and wearables into rural healthcare systems. Our work is on the ground in rural communities working to on innovative financing models. | We're looking for organizations and leaders who are passionate about driving affordability through cost-effective models - transparently. We want to have an honest conversation about rebates, supplemental rebates and affordability. We seek to embrace learning from failures via transparent case studies and iterative improvements; and creating scale that drives product evolution, affordability, competition, and creating scale across payers and cash pay. | TA3: Scalable Implementation, TA3: Scalable Implementation |
| Leslie Lenert | Rutgers Health | Leslie.Lenert@rutgers.edu | New Brunswick, NJ | How to incoporate human values into AI agents for cardiovascular decision making | A standards based platform or integration of work on CV agents | TA1: CVD Agent, TA2: Supervisory Agent |
| Joseph Hess | Salesforce Professional Services | joseph.hess@salesforce.com | NA, DC | As of early 2026, Salesforce's current research focuses heavily on advancing artificial intelligence (AI) and integrating it across enterprise systems. The emphasis is on agentic AI that enables autonomous, action-oriented workflows rather than just reactive tools. Key efforts include: Multi-agent systems for cross-department & external collaboration, Foundations: interoperability protocols, unified data contexts, governance for security & observability, and Data strategy. | Strategic Fit: Enhances Salesforce solutions, targets similar customers/industries, shares goals, fills ecosystem gaps via complementary tech. Cultural Fit: Shared values/ethics, adaptable working styles, clear & consistent communication. Trust & Goals: Mutual trust via structured agreements, aligned objectives (esp. AI-driven innovation). | TA2: Supervisory Agent, TA3: Scalable Implementation |
| Michael Freedman | Samsung Research America | m.freedman@samsung.com | Mountain View, CA | We are Samsung’s US R&D center, bringing end-to-end digital health product development expertise. Our strengths include wearable integrations, digital biomarkers, medication tracking (highly used), EHR/hospital integrations via partnerships with b.well and acquisition of Xealth, GenAI health products, and FDA SaMD regulatory approvals. We’ve also developed HeartWise (cardiac rehab program) with Kaiser Permanente, which reduced their cardiac readmission rate by 90% in a 22K+ patient pilot. | We seek partners who may complement our strengths by bringing expertise in audio/visual-based low-latency patient interface, clinical-grade AI reasoning for differential diagnoses and embedded agentic capabilities. We would also appreciate partners with additional clinical expertise and broad experience in the evidence-based practice of cardiovascular care. | TA1: CVD Agent |
| Rena Kendrick | SANO Health ARM (Advocacy, Research, Mentoring) | rkendrick@sanohealthcare.co | Ontario, CA | SANO Health ARM is a non-profit leader in healthcare technology, workforce development, and patient safety. We are a collaborative partner with SANO Healthcare on a patient-centered platform and novel health quality (QOC-UOC) coding system. We collaborate with academic and community partners to advance AI-driven quality assessments, patient safety in health screenings, and support communities, students and physicians at community engagement activities and on national research initiatives. | We partner with community organizations such as churches, public health organizations, colleges and universities, and medical societies to increase public awareness and promote patient safety. We partner with organizations that support our mentorship of college and medical students at community engagement activities, medical society meetings, and with health policy leaders. We look to engage with healthcare stakeholders committed to workforce development and coordinating care solutions. | TA2: Supervisory Agent, TA1: CVD Agent |
| Bo Lora | Scientix.ai Inc | bolora@scientix.ai | Austin, TX | Building a next-generation ontological framework that embraces an open standard to create core infrastructure providing deterministic grounding for agentic AI. With TA3, it enables scalable integration into diverse clinical workflows, unifying multi-modal CVD data sources. For TA2 the solution is a foundational layer that provides grounding & provenance for supervisory tasks. | Wearable & sensor innovators, Agentic AI developers, Health systems, standards experts, regulatory, strategic advisors | TA3: Scalable Implementation, TA2: Supervisory Agent |
| Giorgio Quer | Scripps Research | gquer@scripps.edu | San Diego, CA | We work on AI solutions in the cardiovascular space, including: 1) an algorithm for the prediction of atrial fibrillation, which can be key to avoid complications; and 2) an algorithm to reconstruct a 12-lead ECG, using data from only three leads. Our AI team works in close collaboration with the clinical team of cardiologists that ensure each of our solutions responds to an actual clinical need. | We plan to lead one submission to this program. We are open to collaboration with industry partners and academic institutions that can collaborate with us in the development of the AI solutions that we are envisioning for this project. In addition, we would also welcome collaborators that can share additional cardiovascular data for the collaboration. | TA1: CVD Agent, TA2: Supervisory Agent |
| Jay Pandit | Scripps Research Translational Institute | jpandit@scripps.edu | San Diego, CA | Scripps Research Translational Institute has significant expertise on running digital decentralized trials to collect multimodal data in building out disease prediction and management models in the cardiometabolic and health aging space. We are actively working on foundational models for continuous glucose monitoring, electronic health records and electrocardiography. We are an academic research organization with an office of technology transfer with a track record of academic-industry collabs. | We have deep expertise in foundational model development particularly when it comes to electronic health records, wearable sensors and patient reported outcomes. We do have an AI division, but would benefit from partnerships that could supplement our foundational model and product development expertise to develop our models into a plug and play product. | TA1: CVD Agent, TA3: Scalable Implementation |
| LANCE LADIC | Siemens Healthineers | lance.ladic@siemens-healthineers.com | Princeton, NJ | integrated diagnostics (multimodality: imaging, lab, digital) and related AI (image processing, analytics, clinical decision support); health IT infrastructure (federated learning, cloud compute, data ingestion/integration) | Interested to work with other industry players (pharma, medical device, AI/tech); partners that can provide access to diagnostic data | TA3: Scalable Implementation, TA1: CVD Agent |
| Robert Goldman | SIFT, LLC | rpgoldman@sift.net | Minneapolis, MN | Ongoing SIFT research includes LLM-based extraction of scientific claims and regulatory concepts from text, using wearable-based data, mathematical and Bayesian models, and AI assistants for emergency medicine notes. SIFT's Characterizing Human Activities for Cancer Health Awareness (CHA-CHA) system classifies at-home exercises by patients in remote areas, to alert physicians of patient-specific anomalies and assess health status, using deep learning and symbolic reasoning. | SIFT would like to join a TA1 or 2 team led by a medical institution to collaboratively develop an ADVOCATE system. We offer expertise in Agentic AI, LLM-based information translation, human-computer interaction, decision support, wearables, and scientific modeling. We also offer over 20 years' experience in Federally-funded research, including contracting and handling controlled unclassified data. Past projects include collaborations with physicians, psychotherapists, and biologists. | TA2: Supervisory Agent, TA1: CVD Agent |
| Nick Desai | SixD Inc | nick@6dvc.com | Silicon Valley, California, CA | Developing useable, scalable, accurate AI agents for healthcare. We have developed agentic AI used by over 50K chronic disease patients and large pharma clients including Novo Nordisk. Also developing consumer facing voice and touch apps that are award-winning in their ease and efficacy/ | Expertise in CVD and the clinical aspects of care. | TA3: Scalable Implementation, TA2: Supervisory Agent |
| Aaron Apple | SPARK Neuro | aaron.apple@sparkneuro.com | New York, NY | SPARK Neuro develops and deploys ML and AI technologies for population health management, disease risk prediction, screening, and diagnostic aid in primary care and gerontology. The scalability of our hybrid care delivery model is founded on proactive segmentation of patients based on need and risk, for optimal allocation of care resources across geographically distributed populations. Our R&D focus combines NLP and predictive ML for health records (claims, EHR) and electrophysiology. | Our ecosystem is appropriately tech-enabled to rapidly benefit from AI agents, and our expertise in care operations and data systems can provide great value to partners for design, development and validation of healthcare agents. We hope to partner with companies leading agentive AI development to build AI care coordinators and health coaches, AI caregiver support agents, AI provider interfaces for care management, and AI supervisors to oversee system function. | TA3: Scalable Implementation, TA1: CVD Agent |
| John Cadigan | SRI International | john.cadigan@sri.com | San Diego, CA | Agentic AI for various applications: knowledge management in specialized domains, CAD design, and deontic logic programming. Human twinning. AI for scientific research. Simulated users. Machine learning. Natural language processing. Generative models for drug design. | Healthcare expertise. Access to relevant data. Experience in relevant research areas. | TA2: Supervisory Agent, TA1: CVD Agent |
| Matthew Shu | Stanford Medicine | mshu9220@stanford.edu | Palo Alto, CA | Agents for Automating Scientific Discovery / Cardiovascular | Validation in external patient populations / expertise for devops/deploying agents in prod | TA1: CVD Agent, TA2: Supervisory Agent |
| Akul Sarin | Stottler Henke Associates, Inc. | asarin@stottlerhenke.com | San Mateo, CA | Stottler Henke Associates, Inc. trains, develops, and deploys AI/ML solutions with recent focus on LLM-driven, tool-using agentic systems and architectures, including multi-agent coordination, multi-hop retrieval-augmented generation and contextualized semantic search over long and/or heterogeneous multimodal content (text+vision+audio). We have leveraged state-of-the-art multimodal foundation models and rigorous evaluation and monitoring for trustworthy operation in high-stakes workflows. | We are seeking teaming partners with strong clinical/domain expertise in cardiology and heart failure, potentially with experience integrating solutions with EHR and remote patient monitoring systems. Ideal partners can navigate interoperability and implementation requirements, secure and manage data access, and embed tools into real clinical workflows. We are also interested in teams that can contribute to governance, clinician/patient centered UI/UX, IRB support, and validation studies. | TA1: CVD Agent, TA2: Supervisory Agent |
| Girish Narayan | Sutter Health | Girish.narayan@sutterhealth.org | Multiple Northern California cities, CA | Our current interests focus on the application of artificial intelligence to novel approaches for cardiovascular screening and optimized healthcare delivery. We are actively conducting research on the utility of AI across the cardiovascular space, including early risk identification, workflow optimization, and population-level screening strategies, leveraging large-scale, EHR-enabled data to drive clinically meaningful and operationally scalable impact. | We are actively seeking partners who can bring strong technical expertise to collaborate with our clinical and operational teams. In particular, we are seeking those with interest and experience developing technologies that can be operationalized in our extensive, EHR-enabled healthcare network to address GDMT for CHF care, chronic CAD, Lipid management/preventive care, and AF management. | TA3: Scalable Implementation, TA1: CVD Agent |
| Shane Emmons | Swept AI | shane@swept.ai | Saginaw, MI | We provide a full supervision suite for agentic AI solutions based on statistical groundings and failsafe mechanisms. We also build autonomous agents on behalf of clients in high risk areas such as health, pharma, clinical research, and finance. | Expertise in CVD and embedded models. | TA2: Supervisory Agent, TA1: CVD Agent |
| Saumya Sanjeev | TachyonLeap Inc. | saumyasanjeev@gmail.com | New Jersey, NJ | Automating Healthcare demand through Intelligent Care Pathways - A state of the art Agentic AI enabled ubiquitous care delivery marketplace to 'Stitch & Distribute' healthcare companies algorithmically to automate 80% of low to medium risk health demand through reimagined AI Enabled Chronic Care Pathways and continuous monitoring resulting in yoy incremental efficiency improvement of 10% over 5 years (400 billion in diabetes alone) to enable reach to underserved segments. | Scalable Implementation Partner - To establish a feedback loop to bring clinical insights into agents AI development and function as test beds to perform large clinical studies comparing outcomes between CVD agent and usual care | TA1: CVD Agent, TA2: Supervisory Agent |
| Ryan King | Texas A&M University | kingrc15@tamu.edu | College Station, TX | Our research focuses on multimodal clinical machine learning, integrating longitudinal structured EHR time-series data with clinical text using large language models. We develop methods for clinical reasoning over time that capture temporal context and cross-modal dependencies, enabling more interpretable and clinically grounded predictions from EHR data and notes. | We are interested in teaming with partners who bring complementary expertise in clinical care delivery, cardiovascular medicine, and real-world health system integration. In particular, we value collaborators with access to EHR data, experience with clinical workflows and evaluation, and interest in jointly developing and validating multimodal AI systems that support clinically grounded reasoning and decision-making. | TA2: Supervisory Agent, TA1: CVD Agent |
| Mustafa Demir | Texas A&M University | amhd@tamu.edu | College Station, TX | Texas A&M Human Factors & digital health research: human-centered data science and its subset human-centered AI/agent design, trust & safety, real-world deployment and evaluation of mHealth interventions (e.g., mHelp), wearable/phone sensing, adherence and outcome modeling, and clinical workflow integration for scalable implementation. | Seeking teaming partners for: cardiovascular clinical expertise and care pathways; access to patient cohorts/health system sites; TA1 agent development (LLM/agent engineering); EHR interoperability (FHIR), data governance/privacy/security; and regulatory/validation support to run pragmatic pilots and generate real-world evidence. | TA3: Scalable Implementation, TA2: Supervisory Agent |
| Kasie Bailey | Truveta | kasieb@truveta.com | Bellevue, WA | Truveta data has 130+ patients EHR journeys de identified, updated daily and available in real time for research, AI modeling and training. Truveta can live link to any data to create long term observation. | Truveta data can provide vast amounts of patient data in real time for modeling, training and ongoing observation. | TA1: CVD Agent, TA2: Supervisory Agent |
| Basit Chaudhry | Tuple Health | basitchaudhry@tuplehealth.com | Washington DC, DC | Tuple Health is actively engaged in research related to: 1) developing a orchestrated ensemble of purpose trained small language models tailored to support cardiovascular processes through agentic functions; 2) developing a cardiovascular context layer to better enable agentic actions at scale; this context layer is oriented around Tuple Health's code-free data modeling and programming technologies. | We would like to partner with organizations who have expertise in continuous learning models (e.g. nested learning) as well as AI infrastructure providers. | TA2: Supervisory Agent, TA1: CVD Agent |
| Wei Wang | UCLA | weiwang@cs.ucla.edu | Los Angeles, CA | We have extensive experience in designing AI agents and developing machine learning models and scalable computing frameworks that effectively harness multimodal clinical data. Our work includes training and fine-tuning large language models, integrating them with external knowledge bases, and deploying robust systems that support complex clinical reasoning, data integration, and real-world decision-making across diverse healthcare settings. | We are interested in partnering with cardiovascular disease experts and clinicians, as well as clinical teams that can provide real-world care settings for data collection and system evaluation. Such collaborations will enable us to deploy, test, and refine agent-based AI systems in realistic clinical environments, ensuring clinical relevance, robustness, and meaningful translational impact. | TA2: Supervisory Agent, TA3: Scalable Implementation |
| Richard Leuchter | UCLA (David Geffen School of Medicine) | rleuchter@mednet.ucla.edu | Los Angeles, CA | Specializing in large and scalable CVD data capture at large academic institution | Existing AI Agent for dynamic risk stratification | TA3: Scalable Implementation, TA1: CVD Agent |
| Alberto Gomez | Ultromics | alberto.gomez@ultromics.com | Oxford, United Kingdom | Ultromics provides clinically validated AI that helps diagnose complex cardiac diseases through the analysis of routine echocardiograms. | Expertise in non-echo data for management of CVD | TA1: CVD Agent, TA3: Scalable Implementation |
| Binoy Shah | Umass Chan Medical School | binoyshah123@gmail.com | worcester, MA | The Soni Lab at UMass Chan Medical School creates and evaluates digital medicine technologies to transform healthcare delivery. Our primary focus is leveraging smart devices, wearables, and sensors to monitor chronic diseases and detect health signals early (e.g., the NExUS-Health and COMMODE-seat studies). We also rigorously study home-based care models, such as the "SNF at Home" trial, and validate mobile applications for mental resilience, maternal health, and infant sleep patterns. | We actively seek collaborations with private technology companies and innovators developing novel digital health tools. Our ideal partners are creators of investigational devices, remote monitoring platforms, or mobile wellness applications (like our work with Casana, ieso, and SimpliFed) who need rigorous clinical evaluation. We look for partners dedicated to evidence-based validation of their technologies in real-world settings to improve patient access and clinical outcomes. | TA3: Scalable Implementation, TA1: CVD Agent |
| Marc Franzos | Uniformed Services University | marc.franzos@usuhs.edu | Bethesda, MD | Military Cardiovascular Outcomes Research (MiCOR) advances heart health for tactical athletes, military families, and retirees. We span the care continuum—from screening and behavioral health to clinical optimization—to ensure a mission-ready and resilient force. | We seek partners to help scale high-impact interventions in risk reduction, lifestyle modification (including nutrition and mindfulness), and the integration of wearable technologies | TA3: Scalable Implementation, TA2: Supervisory Agent |
| Karandeep Singh | University of California, San Diego | karandeep@ucsd.edu | San Diego, CA | The Joan and Irwin Jacobs Center for Health Innovation is an operational innovation unit within UC San Diego Health that focuses on implementing and studying the impact of conversational voice AI agents (already live) and human-on-the-loop workflows where AI directly interfaces with patients. We have developed robust frameworks to implement, scale, eval, and govern agentic AI, with direct-to-patient AI in live clinical use. We have experience with human and A2A red-teaming and related research. | We are looking for a partner with experience in CVD agents who would like to deploy within our existing agentic AI platform or in coordination with our platform across our multi-hospital health system and interested FQHC partners. Because our center sits within the health system and interfaces with closely with operations, we bring robust change management experience in implementing workflow changes to support AI agents and automation-based workflows. We also bring regulatory expertise. | TA3: Scalable Implementation, TA2: Supervisory Agent |
| Yonghui Wu | University of Florida | yonghui.wu@ufl.edu | Gainesville, FL | Multimodal AI, agentic AI, cardiovascular risk prediction, reinforcement learning, and large language models | We have strong track records in multimodal AI, agentic AI, large language models, reinforcement learning, cardiovascular risk prediction, and have access to large-scale electronic health records at UF Health. We are looking for collaborators with experience in wearable devices, privacy, and cybersecurity. | TA1: CVD Agent, TA3: Scalable Implementation |
| Mike Dorsch | University of Michigan | mdorsch@umich.edu | Ann Arbor, MI | Our research focuses on the development and implementation of patient and provider-centered clinical decision support in cardiovascular disease management. We are experts in cardiovascular disease management and have experience developing and evaluating applications within and outside the electronic health record. Our core expertise is the use of a learning health system model to generate knowledge from data and then apply that knowledge to assist patients and providers. | We are looking for a partner or partners who can thoughtfully scale clinical artificial intelligence agents to help cardiovascular disease management. | TA1: CVD Agent, TA3: Scalable Implementation |
| Jingping Nie | University of North Carolina at Chapel Hill | jingping@unc.edu | Chapel Hill, NC | Our research focuses on agentic and multimodal AI systems for cardiovascular and cardiopulmonary care. We develop mobile-accessible clinical AI agents that integrate EHR data, wearable sensing, and real-time patient signals to support care navigation, diagnosis, and treatment. Our work spans embedded and wearable sensing, mobile health, human-computer interaction, agentic AI, scalable AI systems, privacy-aware data infrastructure, and clinical validation in real-world settings. | We seek clinicians, researchers, and interoperability/standards experts who share interests in cardiovascular care, mobile clinical AI agents, EHR–wearable data integration, and real-world clinical deployment. | TA1: CVD Agent, TA2: Supervisory Agent |
| Ying Ding | University of Texas at Austin | ying.ding@ischool.utexas.edu | Austin, TX | AI in Health Lab at School of Information and Dell Medical School at UT Austin is focusing on building human-centered AI approaches to deliver better health. This lab is actively developing and applying chatbot to facilitate medical communication and counseling, LLM on drug combination synergy prediction, visual question answer for pathology images, medical annotation for social determinants of health, and LLM hallucination and uncertainty quantification for agentic AI in healthcare. | We are looking for collaboration with domain experts on cardiovascular care | TA2: Supervisory Agent, TA1: CVD Agent |
| Kavita Radhakrishnan | University of Texas Austin | kradhakrishnan@mail.nur.utexas.edu | Austin, TX | Agentic AI development for cardiovascular self-management by patients with heart failure living in the community. Use of multimodal data includes wearable data and ecological momentary assessments on psychosocial context | FDA regulatory guidance, industry standards for privacy and cybersecurity, interoperability between EHR vendors and use of FHIR | TA1: CVD Agent, TA2: Supervisory Agent |
| SUBRATA DEBNATH | University of Texas Health San Antonio | nath@uthscsa.edu | San Antonio, TX | Our group is primarily working on cardiovascular-kidney-metabolic (CKM) syndrome. | Interest in the integration of AI technologies and algorithms in clinical data analysis as we all exploring AI-enabled resources to optimize patient care and management. | TA1: CVD Agent, TA3: Scalable Implementation |
| Jenny Namkoong | University of Toronto | jnamkoong1@gmail.com | Toronto | Coronary physiology, microvascular function and dysfunction, especially in context of ANOCA (Angina with No obstructive coronary artery disease) | Digital modeling | TA1: CVD Agent, TA2: Supervisory Agent |
| Kensaku Kawamoto | University of Utah | kensaku.kawamoto@utah.edu | Salt Lake City, UT | Through its enterprise Innovation Laboratory, University of Utah Health is focused on healthcare transformation leveraging breakthrough technologies in AI and digital health, including agentic AI methods. This enterprise initiative is well-resourced, with robust AI computing capacity including Nvidia H200 and B300 servers. Our cardiology program provides longitudinal care across five states, with experience rolling out AHA and NIH initiatives across rural and frontier communities. | We are particularly interested in teaming partners who can extend the reach of this program on a national scale. | TA1: CVD Agent, TA2: Supervisory Agent, TA3: Scalable Implementation |
| Ganesh Sundaramoorthi | UTRC | sundarga1@utrc.utc.com | East Hartford, CT | agentic AI, verification of LLMs | Clinical expertise, open to algorithmic contributions | TA1: CVD Agent, TA2: Supervisory Agent |
| Saad Soroya | VascAI | msoroya@ucdavis.edu | Sacramento, CA | We are a research AI lab startup focused on agentic systems for cardiovascular disease profiling and care delivery. Our research develops autonomous clinical agents that conduct asynchronous cardiovascular visits, collect longitudinal real-world data from wearables, patient-reported symptoms, and clinical records, perform AI-guided GDMT optimization, and generate patient-specific digital twins using integrated multi-modal clinical, environmental, and molecular data. | We seek teaming partners with academic medical centers, clinics, and FQHCs for system deployment, as well as EHR and wearable integration partners. Ideal partners share a commitment to validating autonomous AI agents in real-world settings, building supervisory safety and monitoring systems, and enabling scalable, equitable cardiovascular care to deliver on risk stratification, autonmous titration (supervised) and Omic profiling (exposomic and molecular). | TA1: CVD Agent, TA3: Scalable Implementation, TA2: Supervisory Agent |
| Xuan Wang | Virginia Tech | xuanw@vt.edu | Blacksburg, VA | Our research focuses on agentic AI for safe, autonomous clinical decision-making, combining large and small language models and multi-agent reasoning to deliver trustworthy, real-time care. We develop AI agents for oversight, consensus, and error mitigation. We already developed locally hosted, privacy-preserving clinical AI agents with Children’s National Hospital for real-world clinical triage and workflow integration. | Clinical expertise in testing out the AI agents | TA1: CVD Agent, TA2: Supervisory Agent |
| Chandan Reddy | Virginia Tech | reddy@cs.vt.edu | Arlington, VA | We focus on post-deployment evaluation, monitoring, and governance of agentic AI systems. Our work emphasizes runtime observability, ground-truth-free risk and uncertainty assessment, behavioral drift detection, and failure containment for deployed agents. We have experience supervising large-scale AI systems in enterprise and healthcare-adjacent domains, with a focus on safety, auditability, and scalable deployment. | We are seeking clinical collaborators (cardiology, heart failure, or clinical informatics) and healthcare system partners to ground supervisory signals in real clinical workflows. We are also interested in TA1 teams developing CVD agents and TA3 partners who can support integration, governance design, and real-world validation of post-market monitoring and safety mechanisms. | TA2: Supervisory Agent, TA3: Scalable Implementation |
| Adam Robins | Viz.ai | adam.robins@viz.ai | San Francisco, CA | Viz.ai is the most widely deployed clinical AI platform, embedded across ~2,000 hospitals to deliver disease detection, clinical workflow orchestration, and care team activation. Today, Viz operationalizes AI through data integration, clinician-facing decision support, and closed-loop execution within health system workflows. Through ADVOCATE, we aim to extend this proven execution layer to supervised, agentic cardiovascular care at scale. | We are seeking partners with novel population risk stratification technologies and leading agentic AI capabilities, including patient- or clinician-facing clinical agents. Areas of interest include advanced HF/CVD risk modeling, longitudinal data integration, and clinical safety or supervisory frameworks, as well as health system collaborators to co-develop, validate, and deploy agentic cardiovascular care at scale. | TA1: CVD Agent |
| Or Zilbershot | Walkky | or@walkky.com | Boston, MA | Walkky’s research focuses on agentic AI and multimodal foundation models for cardiovascular care. We develop AI-driven clinical companions that integrate ECG, imaging, and EHR data to enable early detection, risk stratification, and decision support. Our work emphasizes empowering non-specialist providers and delivering patient-friendly, effective interactions to expand access and improve cardiovascular care quality in underserved communities. | Walkky is seeking teaming partners with expertise in large-scale implementation and deployment of AI-enabled healthcare solutions, particularly in underserved and resource-limited settings. Ideal partners bring capabilities in clinical operations, community-based deployment, health system integration, and scalable infrastructure to translate advanced AI into real-world, sustainable care delivery. | TA1: CVD Agent, TA2: Supervisory Agent |
| Dongxiao Zhu | Wayne State University | dzhu@wayne.edu | Detroit, USA, MI | Trustworthy AI, LLM, Agentic AI, AI Safety, Cardiovascular Disease | Wearables, Medical IoT | TA1: CVD Agent, TA2: Supervisory Agent |
| Konrad Morzkowski | Wearlinq | konrad+1@wearlinq.com | San Francisco (& remote), CA | We're developers of an FDA-cleared continuous 6-lead EKG monitor + additional sensors. It provides real-time data enabling us to run models on raw physiological data. We have top AI engineers & backing (AIX led our last financing round). We also have existing health system clients with EHR integrations live which we could work with for deployment. We'd focus on TA1 + TA3. | Looking for a complementary skillset for TA2 (we're looking to go after TA1 + TA3). For TA3 we have an interoperability partner for EHR integrations, but would consider additional resources. | TA1: CVD Agent, TA3: Scalable Implementation |
| Valeriya Gritsenko | West Virginia University School of Medicine | vgritsenko@mix.wvu.edu | Morgantown, WV | Our research focuses on bioinspired, agentic AI systems designed as autonomous monitors for cardiovascular care. Using physiology-inspired algorithms and network architectures, we aim to enable continuous or remote monitoring and workflow-integrated decision support. We test and validate AI systems within medical systems to ensure clinical relevance, safety, and seamless workflow and EHR integration. | Data providers, front end builders, and supervisory agent builders. | TA1: CVD Agent, TA3: Scalable Implementation |
| Ashok Veeraraghavan | William Marsh Rice University | av21@rice.edu | Houston, TX | From electronic health records to patient imaging details, health care systems worldwide collect billions of data points. The potential for these data assets to transform human health is beyond comprehension. That’s why Houston Methodist and Rice University united to form the DHI and harness the power of AI, biomedical engineering and integrated data systems to tackle urgent health care needs. e | Q2: Academic Research Expertise in Agentic AI for Healthcare and Medicine Applications — preferably with a focus on CVD | TA2: Supervisory Agent, TA1: CVD Agent |
| Blanca Villanueva | Xalaga | blanca@cs.stanford.edu | New York, San Francisco Bay Area, NY | We use machine learning methods on health data—unstructured clinical notes, structured EHRs, claims, and sensor data from wearables and robotic systems—to ship algorithms and user experiences that facilitate preventive interventions. We are also committed to the ‘how’ and not just the ‘what’, and spend just as much time on translation and integrating our technical solutions into clinical workflow. Making our solutions predictable and replicable is central to our design process. | We seek clinical partners—physicians, data scientists, and hospital affiliates—who can provide de-identified multimodal health data (EHRs, claims, wearables) for prototyping and model testing. We plan to interview and shadow clinicians to study workflow and any ways in which digital health innovations are operationalized into current practice. Deep embedding into health system operations is essential to meaningful deployment and replication across sites. | TA1: CVD Agent, TA3: Scalable Implementation |
| Sandeep Pulim | Xandar Kardian | S@pulim.com | Columbia, MD | Building predictive models for early detection of cardiovascular decompensation using data from FDA cleared, UWB impulse radar that collects continuous HR, RR | Hospital health system partners | TA1: CVD Agent |
| Harlan Krumholz | Yale University | harlan.krumholz@yale.edu | New Haven, CT | We focus on cardiovascular outcomes, quality of care, and patient-centered evaluation, with growing emphasis on AI-enabled clinical decision support. Our work integrates evidence, guidelines, real-world data, and expert judgment to understand variation in care, define what high-quality decisions look like, and build systems that improve safety, transparency, and learning in real-world cardiovascular practice. | We are seeking partners with strengths in agentic AI, autonomous system design, and safety-critical validation, as well as health systems prepared for real-world deployment and evaluation. Ideal partners value explicit reasoning, uncertainty, and escalation as core design features and are interested in building AI that can be trusted, audited, and improved over time in cardiovascular care. | TA1: CVD Agent, TA2: Supervisory Agent |
| Ken Kobayashi | YOBO Health, Inc | kk3636@caa.columbia.edu | New York, NY | Reducing 30 day HF readmission rates | Small startups exploring PMF | TA2: Supervisory Agent, TA1: CVD Agent |