University of Wisconsin–Madison

Category: Other NIH Funding

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)

To support projects aimed toward commercialization that are led by an academic-industrial partnership primarily focusing on novel data integration and/or new AI model development. 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). [Deadline: 10/19/26.]

Development and Testing of a Multi-use Frameworks Playbook for Precision Medicine with AI: Integrating Imaging with Multimodal Data (PRIMED-AI) (U01 Clinical Trial Not Allowed)

To support the design, development, and preliminary validation of robust frameworks for the application of multimodal-artificial intelligence (AI) models for clinical use. Frameworks developed through these awards would populate a “playbook”, defined as a collection of actionable guidelines, standardized protocols, and/or standard operating procedures (SOPs) for reliable and effective development and deployment of multimodal AI tools. [Deadline: 10/9/26.]

Model-to-Clinic (M2C) for Precision Medicine with AI: Integrating Imaging with Multimodal Data (PRIMED-AI) (UG3/UH3, Clinical Trial Optional)

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. [Deadline: 10/19/26.]

Seed Instrumentation Support (SIS) Program (S10 Clinical Trial Not Allowed)

Supports the purchase of a single commercially available biomedical research instrument currently unavailable in the institution. Instruments must be shared among the users to create new research opportunities, enable reproducible data generation, encourage collaborative research and training, and strengthen long-term research capabilities. [Due dates: 9/25/26, 7/1/27, 7/1/28.]