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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: Data-to-Model Academic-Industrial Partnerships (D2M-AIP) for Precision Medicine with AI: Integrating Imaging with Multimodal Data (UG3/UH3 Clinical Trial Optional) is offered by National Institutes of Health. Max award: Not specified. Applications close on Oct 19, 2026.

Opportunity numberRFA-RM-27-012
AgencyNational Institutes of Health
StatusPosted
PostedJun 30, 2026
ClosesOct 19, 2026
Award ceilingNot specified
Award floorNot specified
Total program fundingNot specified
Expected awards8
Who can applySpecial district governments, For profit organizations other than small businesses, County governments, Independent school districts, Private institutions of higher education, Small businesses, Others (see text field entitled "Additional Information on Eligibility" for clarification), Public and State controlled institutions of higher education, Native American tribal organizations (other than Federally recognized tribal governments), Nonprofits that do not have a 501(c)(3) status with the IRS, other than institutions of higher education, Native American tribal governments (Federally recognized), State governments, Public housing authorities/Indian housing authorities, Nonprofits having a 501(c)(3) status with the IRS, other than institutions of higher education, City or township governments
CategoryHealth

Summary (excerpt)

The overarching goal of this notice of funding opportunity (NOFO) and its companion opportunities is to establish the Precision Medicine with AI: Integrating Imaging with Multimodal Data (PRIMED-AI) Program to support development of innovative, reliable, cost-effective, and sustainable multimodal AI-based clinical decision support (CDS) tools. PRIMED-AI CDS tools are based on the integration of clinical imaging with other types of multimodal heal…

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