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.
Funder: National Institutes of Health
Due Dates (Anticipated): June 2027 (full application, projected) | June 2026 (projected)
Funding Amounts: Estimated total program funding: $2,900,000; award ceiling not specified; multi-phase UG3/UH3 cooperative agreements.
Summary: Supports academic-industrial partnerships to develop AI tools integrating clinical imaging with multimodal health data for precision medicine.
Key Information: This is a forecasted opportunity; details may change—monitor the program page for updates.
Description
The NIH Common Fund, in collaboration with other NIH Institutes and Centers, anticipates releasing a Notice of Funding Opportunity (NOFO) for the PRIMED-AI: Data-to-Model Academic-Industrial Partnerships (D2M-AIP) program. This initiative aims to foster the development of innovative, reliable, and cost-effective artificial intelligence (AI) tools that integrate clinical imaging with other health data types to advance precision medicine, particularly for chronic and other complex health conditions.
The program is structured in two phases:
- Phase 1: Focused on data integration and interoperability, encouraging strong academic-industrial collaborations.
- Phase 2: Emphasizes algorithm development and performance testing of AI-based tools for clinical diagnosis and treatment.
The NOFO will utilize the UG3/UH3 cooperative agreement mechanism and is open to projects that combine expertise in academic and industrial settings to address challenges in integrating medical images with multimodal data.
