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 2026 (Full application deadline, projected)
Funding Amounts: Estimated total program funding: $2,900,000; award size and duration to be specified in the forthcoming NOFO.
Summary: Supports academic-industrial partnerships to develop AI tools integrating clinical imaging and multimodal data for advancing precision medicine in chronic and other health conditions.
Key Information: This is a forecasted opportunity; dates and details may change when the official NOFO is released.
Description
This forecasted NIH opportunity aims to fund the Precision Medicine with Artificial Intelligence - Integrating Imaging with Multimodal Data (PRIMED-AI) program, specifically its Academic-Industrial Partnerships (AIP) initiative. The initiative seeks to support collaborative research between academic and industrial partners to develop, test, and validate innovative, reliable, and cost-effective AI-based tools that can integrate clinical imaging with other health-related data types. The ultimate goal is to enhance personalized medicine approaches for patients with chronic and other significant health conditions.
The program will initially focus on data integration and interoperability, followed by a second phase emphasizing algorithm development and performance testing. Investigators with experience in academic-industrial collaborations and expertise in AI, medical imaging, and multimodal health data are encouraged to prepare responsive projects.
