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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 · Opportunity RFA-RM-27-011

Who can apply

• 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

Refer to Section III. Eligibility Information in the NOFO for additional information on eligibility.Foreign Organizations/International Collaborations:Non-domestic (non-U.S.) Entities (Foreign Organizations) are not eligible to apply.Non-domestic (non-U.S.) components of U.S. Organizations are not eligible to apply.Foreign components, as defined in the NIH Grants Policy Statement, are not allowed.

About this opportunity

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 tools into clinical workflows to enable novel personalized medicine strategies that address significant health challenges. The purpose of this NOFO is to solicit applications for 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. It is expected that the frameworks delineated in this playbook will directly address PRIMED-AI objectives and needs, while also remaining flexible enough to enable sufficient extensibility and interoperability for use across a broad spectrum of multimodal biomedical AI applications, both internal and external to the PRIMED-AI Program.

Portfolio context — this listing covers more than this opportunity

This opportunity is funded under Assistance Listing 93.310 (“Trans-NIH Research Support”), a broad federal program that made about 574 new awards per year over the last five fiscal years (median award $981k). Those figures describe that whole portfolio — not this specific solicitation, so we don't show them as if they were this opportunity's track record.

Applicant counts per solicitation are not published by any federal agency — no one can honestly sell you that number. NIH publishes success rates by institute and activity code — source.

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