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)

National Institutes of Health · RFA-RM-27-011 · Deadline: October 9, 2026 · Advertised ceiling: $300k

This listing sits under an agency-wide umbrella (CFDA 93.310, Trans-NIH Research Support — ~574 awards/yr across many separate competitions). Program-level statistics would describe the whole umbrella, not this competition, so we don't show them as if they were this opportunity's history. Any tool showing "award history" for this listing at the program level is describing the umbrella.

Listing summary

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 health data to enhance care for patients with a wide range of health conditions. The PRIMED-AI Program seeks to catalyze the adoption of AI-based CDS tool…

Eligibility: State governments, County governments, City or township governments, Special district governments, Independent school districts, Public and State institutions of higher education, Native American tribal governments (Federally recognized), Public housing authorities, Native American tribal organizations (other), Nonprofits with 501(c)(3), other than higher education, Nonprofits without 501(c)(3), Private institutions of higher education, For-profit organizations other than small businesses, Small businesses, Others · Categories: Health · official listing ↗

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Sources: NIH RePORTER (opportunity-exact) and USAspending (program-level), labeled per section. GrantsDue computes summaries only; verify anything critical against the originals. Methodology.