PRIMED-AI: Multi-use Framework Playbooks (UG3 Clinical Trial Not Allowed)

The National Institutes of Health (NIH) Common Fund, in collaboration with other NIH Institutes and Centers (ICs), plans to release a Notice of Funding Opportunity (NOFO) titled “PRIMED-AI: Multi-use Framework Playbooks (UG3 Clinical Trial Not Allowed).” This opportunity, listed under the Forecast ID NOT-RM-25-020, is designed to support the development and initial testing of “playbooks” that promote responsible implementation of artificial intelligence (AI) tools in precision medicine. These playbooks are intended to address error mitigation, data and algorithm management, data ontology, regulatory preparedness, and technical integration involving AI-based technologies and multimodal health data. The PRIMED-AI initiative aims to advance the integration of clinical imaging with other health data types through AI, with the goal of personalizing medical approaches for patients with chronic and complex health conditions. This funding forecast serves as a pre-notice to give prospective applicants adequate time to establish collaborations and craft high-quality proposals. The opportunity emphasizes the importance of multidisciplinary collaborations that combine AI expertise with domain-specific knowledge in health data harmonization, multimodal tool validation, and regulatory planning. This initiative falls under the UG3 cooperative agreement mechanism, which supports discrete, milestone-driven research projects. No clinical trials are allowed under this NOFO. Applications are anticipated to be accepted starting July 1, 2025, with a submission deadline of November 1, 2025. Award notifications are estimated for September 1, 2026, with project start dates expected to coincide with the award announcements. The estimated total funding for the program is $650,000, although specific ceiling and floor amounts per award have not yet been disclosed. Eligible applicants include a broad range of entities such as state and local governments, federally recognized and other tribal organizations, nonprofits with 501(c)(3) status, for-profit organizations (including small businesses), independent school districts, public housing authorities, and institutions of higher education (both public and private). Notably, there are no cost-sharing or matching requirements for this opportunity. The lead contact for this funding opportunity is Dr. Sahana N. Kukke of the NIH Office of the Director/Common Fund. She can be reached at 301-402-3756 or via email at ODPRIMED-AI@od.nih.gov. Additional details and updates will be posted on Grants.gov once the official NOFO is released.

The notice encourages early collaboration and preparation, particularly among teams with expertise in AI and multimodal data integration.