PRIMED-AI: Data-to-Model Academic-Industrial Partnerships (D2M-AIP) for Precision Medicine with AI: Integrating Imaging with Multimodal Data (UG3/UH3 Clinical Trial Optional)
Because health is shaped by a variety of interconnected factors–clinical, biological, genetic, environmental and social–the Precision Medicine with AI: Integrating Imaging with Multimodal Data (PRIMED-AI) Program seeks to integrate clinical imaging with relevant, complementary multimodal data (MMD). The overarching goal of the PRIMED-AI Program is to catalyze the development and adoption of innovative AI-based CDS tools into clinical workflows. The PRIMED-AI Program initiatives collectively aim to tackle complex clinical challenges by fostering cross-disciplinary collaboration to create innovative, reliable, cost-effective, and sustainable AI solutions that enable precision medicine strategies.
RFA-RM-27-012: To catalyze the translation of Artificial Intelligence (AI)-enabled, image-centered, multimodal clinical decision support (CDS) tools, developed as Software as a Medical Device (SaMD), from training and testing of prototypes towards clinical applications that address unmet health challenges in precision medicine.
D2M-AIP projects aim toward commercialization and are led by an academic-industrial partnership that primarily focuses on novel data integration and/or new AI model development. Projects proposed under D2M-AIP exist in the pre-competitive space and will emphasize technical validation and performance testing, without requiring clinical validation studies within the award period. The goal is to develop and de-risk novel AI technologies through collaboration, preparing them for future commercialization, adoption, and use of a CDS tool(s).
Application deadline: October 19, 2026