PRIMED-AI: Translating Models to Clinic (UG3/UH3 Clinical Trial Optional)
ID: 359666Type: Posted
Overview

Buyer

National Institutes of Health (HHS-NIH11)

Eligible Applicants

Small Businesses

Funding Category

Health

Funding Instrument

Cooperative Agreement

Opportunity Category

Discretionary

Cost Sharing or Matching Requirement

Yes
Timeline
    Description

    The National Institutes of Health (NIH) is announcing a funding opportunity titled "PRIMED-AI: Translating Models to Clinic," aimed at developing innovative AI-based tools that integrate clinical imaging with multimodal health data to enhance personalized medicine for patients with chronic conditions. This initiative, part of the Precision Medicine with Artificial Intelligence program, will utilize a biphasic mechanism focusing initially on rigorous AI model building through the analysis of large datasets, with successful projects advancing to evaluate the clinical utility of AI-driven Clinical Decision Support tools. The estimated total program funding is $10.2 million, with applications expected to be solicited after the synopsis posting on July 1, 2025, and a closing date anticipated on November 1, 2025. Interested applicants can contact Dr. Sahana N. Kukke at ODPRIMED-AI@od.nih.gov or by phone at 301-402-3756 for further information.

    Point(s) of Contact
    Sahana N. Kukke, PhD Office of the Director/NIH Common Fund, DPCPSI, OD
    (301) 402-3756
    ODPRIMED-AI@od.nih.gov
    Files
    No associated files provided.
    Similar Opportunities
    PRIMED-AI: Academic-Industrial Partnerships (UG3/UH3 Clinical Trial Optional)
    National Institutes of Health
    The National Institutes of Health (NIH) is announcing an upcoming funding opportunity titled "PRIMED-AI: Academic-Industrial Partnerships (UG3/UH3 Clinical Trial Optional)" aimed at developing innovative AI-based tools that integrate clinical imaging with multimodal health data to enhance personalized medicine for patients with chronic conditions. This initiative will focus on fostering collaborations between academic institutions and industry partners to improve data integration and interoperability, followed by algorithm development and performance testing in a subsequent phase. The estimated total program funding is $2.9 million, with applications expected to open in July 2025 and close in November 2025, while the anticipated award date is September 2026. Interested parties can reach out to Dr. Sahana N. Kukke at ODPRIMED-AI@od.nih.gov or by phone at 301-402-3756 for further information.
    PRIMED-AI: Multi-use Framework Playbooks (UG3 Clinical Trial Not Allowed)
    National Institutes of Health
    The National Institutes of Health (NIH) is announcing a forthcoming funding opportunity titled "PRIMED-AI: Multi-use Framework Playbooks," aimed at supporting the development of AI-based tools that integrate clinical imaging with various health data types to enhance personalized medicine. This initiative seeks to fund projects that will create "playbooks" for the responsible use of PRIMED-AI models, focusing on error mitigation, data management, and regulatory preparation. With an estimated total program funding of $650,000, the opportunity is open to small businesses, and while applications are not currently being solicited, interested parties are encouraged to prepare for collaboration and project development ahead of the anticipated synopsis posting on July 1, 2025. For further inquiries, potential applicants can contact Dr. Sahana N. Kukke at ODPRIMED-AI@od.nih.gov or by phone at 301-402-3756.
    PRIMED-AI: Logistics Center (U24 Clinical Trial Not Allowed)
    National Institutes of Health
    The National Institutes of Health (NIH) is announcing a forthcoming funding opportunity titled "PRIMED-AI: Logistics Center," aimed at developing innovative AI-based tools that integrate clinical imaging with various health data types to enhance personalized medicine for patients with chronic health conditions. This initiative will establish a Logistics Center that provides administrative infrastructure through three integrated cores—Administration, Evaluation, and Outreach—to manage consortium activities, including governance, workshops, and community engagement. The estimated total program funding is $2,750,000, with applications not currently being solicited; however, potential applicants are encouraged to prepare for collaboration and project development ahead of the anticipated Notice of Funding Opportunity (NOFO) release on July 1, 2025. For further inquiries, interested parties may contact Dr. Sahana N. Kukke at 301-402-3756 or via email at ODPRIMED-AI@od.nih.gov.
    PRIMED-AI: Validation Center (U54 Clinical Trial Not Allowed) 
    National Institutes of Health
    The National Institutes of Health (NIH) is announcing the upcoming opportunity for the PRIMED-AI: Validation Center program, which aims to develop AI-based tools that integrate clinical imaging with various health data types to enhance personalized medicine for patients with chronic conditions. This initiative will serve as an independent hub for the verification, validation, and uncertainty quantification of AI-enabled Clinical Decision Support (CDS) tools, focusing on the systematic retesting and harmonization of deliverables to characterize their performance comprehensively. The program is particularly relevant for small businesses with expertise in the validation of CDS tools, and while applications are not currently being solicited, interested parties are encouraged to prepare for future submissions. The estimated total program funding is $3,900,000, with key dates including a synopsis post date of July 1, 2025, and an estimated award date of September 1, 2026. For further inquiries, contact Sahana N. Kukke, PhD, at ODPRIMED-AI@od.nih.gov or call 301-402-3756.
    New Generation of Glucose Control Technologies Incorporating AI/ML Tools/Strategies
    National Institutes of Health
    The National Institutes of Health (NIH) is announcing a funding opportunity titled "New Generation of Glucose Control Technologies Incorporating AI/ML Tools/Strategies," aimed at advancing research in diabetes control systems. This initiative seeks to overcome barriers to effective open- and closed-loop diabetes management through innovative approaches, including the development of AI/machine learning-driven tools, novel hormone delivery methods, and digital twin modeling to enhance decision support systems. With an estimated total program funding of $3 million, the NIH anticipates awarding approximately six grants, with applications expected to open in September 2025 and close by October 2025. Interested applicants can reach out to Guillermo Arreaza-Rubín at ga96b@nih.gov or call 301-594-4724 for further information.
    Research Grants in Clinical Informatics (R01 Clinical Trial Optional)
    National Institutes of Health
    The National Institutes of Health (NIH) is announcing a forthcoming opportunity for research grants in Clinical Informatics, specifically under the R01 Clinical Trial Optional funding mechanism. This initiative aims to support innovative research that develops and evaluates clinical informatics tools and methodologies, enhancing the ability of clinicians and patients to manage health care delivery effectively. The program emphasizes the creation of scalable and reusable approaches to transform diverse health data into actionable insights, ultimately improving clinical workflows and health outcomes. With an estimated total funding of $2.5 million and the expectation of awarding approximately 10 grants, interested applicants are encouraged to prepare their proposals ahead of the anticipated application period, which is expected to open following the synopsis posting on October 6, 2025. For further inquiries, potential applicants can contact Goutham Reddy at goutham.reddy@nih.gov or by phone at 301-827-6728.
    Novel Approaches to Advance Precision Aging and Cognitive Health
    National Institutes of Health
    The National Institutes of Health (NIH) is preparing to publish a Notice of Funding Opportunity (NOFO) titled "Novel Approaches to Advance Precision Aging and Cognitive Health," aimed at soliciting applications that leverage innovative study designs and methods, including machine learning and artificial intelligence, to enhance cognitive health in older adults. This initiative seeks to develop personalized prevention plans and interventions by discovering health and function profiles at the individual level, encompassing research from cellular to societal levels. The grant will utilize the R01 activity code, with applications not currently being solicited; however, potential applicants are encouraged to begin forming collaborations and project ideas in anticipation of the funding opportunity. For further inquiries, interested parties may contact Dr. Molly Wagster at wagsterm@nia.nih.gov or by phone at 301-496-9350. The estimated synopsis post date is August 6, 2026, with a close date of October 6, 2026, and an anticipated award date of July 6, 2027.
    Translational Center for Accelerating the Use of Digital Health Technologies Data in AD/ADRD Research
    National Institutes of Health
    The National Institutes of Health (NIH) is announcing a forthcoming funding opportunity titled "Translational Center for Accelerating the Use of Digital Health Technologies Data in AD/ADRD Research." This initiative aims to establish a comprehensive center focused on developing infrastructure and best practices for the effective use of digital health technology data in Alzheimer's Disease (AD) and related dementias research. The center will create a cloud-based, federated data repository that adheres to the FAIR principles, facilitating the secure storage, processing, and integration of diverse data types generated from AD/ADRD studies. While applications are not currently being solicited, interested parties are encouraged to prepare collaborative proposals in anticipation of the official announcement, with an estimated synopsis posting date of February 27, 2026, and a projected award date of April 25, 2027. For further inquiries, potential applicants can contact Dr. Nadezda Radoja at nadezda.radoja@nih.gov or by phone at 240-447-1938.
    Illuminating AD/ADRD Genome to Enable Precision Genomic Medicine
    National Institutes of Health
    The National Institutes of Health (NIH) is announcing a forthcoming funding opportunity titled "Illuminating AD/ADRD Genome to Enable Precision Genomic Medicine," aimed at supporting integrative, cross-disciplinary research projects focused on understanding the genomic factors involved in Alzheimer's Disease (AD) and Alzheimer's Disease Related Dementias (ADRD). The initiative seeks to leverage innovative techniques and advanced analytical methods, including machine learning and comparative genomic analysis, to explore the genomic drivers of neurodegeneration through sophisticated disease models and interdisciplinary approaches. This cooperative agreement does not require cost sharing and is open to a wide range of eligible applicants, including non-domestic entities and tribal governments, with applications expected to be solicited starting in August 2026. For further inquiries, interested parties may contact Dr. Alison Yao at 301-827-7264 or via email at yaoal@nia.nih.gov.
    Advancing Bioinformatics, Translational Bioinformatics and Computational Biology Research (R01 Clinical Trial Optional)
    National Institutes of Health
    The National Institutes of Health (NIH) is set to publish a Notice of Funding Opportunity (NOFO) for the Advancing Bioinformatics, Translational Bioinformatics, and Computational Biology Research initiative, which aims to support innovative research in these fields. This initiative seeks to develop advanced methods and tools that leverage transformative technologies, such as artificial intelligence and machine learning, to enhance the interpretation of complex biological datasets, ultimately improving health outcomes. With an estimated total program funding of $2.5 million and the expectation of awarding approximately 10 grants, interested small businesses are encouraged to prepare their applications, with the anticipated synopsis posting date on October 6, 2025, and a closing date for applications on February 4, 2026. For further inquiries, potential applicants can contact Dr. Catherine Farrell at catherine.farrell@nih.gov or by phone at 301-402-7081.