PRIMED-AI: Academic-Industrial Partnerships (UG3/UH3 Clinical Trial Optional)
This upcoming NIH grant supports academic-industrial partnerships to develop and test AI tools that integrate medical imaging with other health data to improve personalized care for chronic and other conditions.
Browse similar grants
Funder: National Institutes of Health
Due Dates: June 17, 2026 (estimated application due date) | October 19, 2026 (application closing date)
Funding Amounts: Estimated total program funding: $2,900,000; ~8 awards anticipated; award size and duration details to be announced in final NOFO.
Summary: Supports academic-industrial partnerships to develop and test AI-enabled, image-centered, multimodal clinical decision support tools for precision medicine.
Key Information: This is a forecasted opportunity; final details and application instructions may change.
Description
This funding opportunity, led by the NIH Common Fund in collaboration with other NIH Institutes and Centers, aims to establish the PRIMED-AI program: Precision Medicine with AI – Integrating Imaging with Multimodal Data. The initiative focuses on supporting innovative academic-industrial partnerships to develop, validate, and test artificial intelligence (AI)-enabled clinical decision support (CDS) tools that integrate clinical imaging with other health data types (e.g., genomics, EHR, biosensor data). The ultimate goal is to catalyze the adoption of reliable, cost-effective, and sustainable AI-based CDS tools in clinical workflows, enabling personalized medicine strategies that address significant health challenges.
This particular opportunity (D2M-AIP) emphasizes the formation of robust collaborations between academic and industry partners to address challenges in data integration, interoperability, and the development of AI algorithms as Software as a Medical Device (SaMD). Projects are expected to demonstrate high potential for positive impact on patient outcomes and/or healthcare processes.
