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)

PRIMED-AI: Academic-Industrial Partnerships (UG3/UH3 Clinical Trial Optional)

The NIH Common Fund, with other NIH Institutes and Centers (ICs), intends to publish a Notice of Funding Opportunity (NOFO) to solicit applications for the Precision Medicine with Artificial Intelligence - Integrating Imaging with Multimodal Data (PRIMED-AI) program, which seeks to develop innovative, reliable, and cost-effective AI-based tools that integrate clinical imaging with other health data types to enhance personalized medicine for patients with chronic and other health conditions. The program’s Academic Industrial Partnership (AIP) initiative will focus on data integration and interoperability and will be followed by a second phase focused on algorithm development and performance testing. Applications are not being solicited at this time. Notice is being provided to allow potential applicants sufficient time to develop meaningful collaborations and responsive projects. This NOFO will utilize the UG3/UH3 activity code. Investigators with expertise and insights into AIP collaborations to develop and test AI-based tools using medical images and multimodal data for clinical diagnosis and treatment are encouraged to begin to consider applying for this new NOFO. In addition, collaborative investigations combining expertise in building and managing academic and industrial partnerships will be encouraged and these investigators should also begin considering applying for this application.

Details

• Agency: National Institutes of Health
• Department: Department of Health and Human Services
• Opportunity #: RFA-RM-26-012
• Total Funding: $2,900,000
• Instrument: cooperative_agreement