The PRIMED-AI: Translating Models to Clinic (UG3/UH3 Clinical Trial Optional) is a forthcoming funding opportunity from the National Institutes of Health (NIH), specifically administered by the NIH Common Fund in collaboration with other NIH Institutes and Centers. This opportunity is announced through a forecast (NOT-RM-25-023) to provide early notice and allow applicants to begin forming collaborative proposals. The overarching goal is to enhance personalized medicine by developing AI-based tools that integrate clinical imaging with other multimodal health data for patients with chronic and other health conditions.
This initiative is structured as a biphasic program using the UG3/UH3 cooperative agreement mechanism. In the initial UG3 phase, funded projects will focus on rigorous retrospective analysis and testing of large, interoperable multimodal datasets to build robust AI models. The emphasis is on creating tools that can address current gaps in diagnostic accuracy, prognostic prediction, and therapeutic guidance. Projects that demonstrate strong model readiness and significant potential will transition into the UH3 phase, where they will be tested in real-world clinical settings to evaluate their practical clinical utility.
The anticipated total funding available through this opportunity is approximately $10.2 million. Although the precise maximum or minimum award sizes are not listed, the funding structure and phase-wise progression suggest significant investments per project. Matching funds are not required. The forecast outlines an estimated application due date of November 1, 2025, with the earliest project start date expected to be September 1, 2026. Awards are also anticipated to be announced by that same September 2026 timeframe. The estimated publication date for the formal Notice of Funding Opportunity (NOFO) is July 1, 2025.
Eligible applicants include a wide range of entities such as public and private institutions of higher education, state and county governments, nonprofit organizations (excluding higher education), Native American tribal entities (both federally recognized and other), public housing authorities, independent school districts, and for-profit organizations including small businesses. There are no geographical restrictions, and the opportunity is available nationwide.
Application details, including required components and specific questions, will be released with the full NOFO. However, potential applicants are encouraged to begin forming research collaborations and preparing project proposals aligned with the program’s goals. The grant will not be offered on a rolling basis but is expected to be part of a recurring funding initiative. Further inquiries can be directed to Sahana N. Kukke, PhD at ODPRIMED-AI@od.nih.gov or by phone at 301-402-3756.
Notice recommends that interested parties begin forming collaborations and preparing proposals early.
