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Model-to-Clinic (M2C) for Precision Medicine with AI: Integrating Imaging with Multimodal Data (PRIMED-AI) (UG3/UH3, Clinical Trial Optional) is sponsored by National Institutes of Health Common Fund.
This opportunity catalyzes the translation of AI-enabled, image-centered, multimodal Clinical Decision Support (CDS) tools, developed as Software as a Medical Device (SaMD), from validated prototypes to clinical applications addressing unmet precision medicine challenges. Projects are expected to have a high potential for demonstrable, positive impact on patient outcomes and/or healthcare processes.
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Or search similar grants →According to the current listing, eligibility includes: Domestic higher education institutions, nonprofits, for-profits, government agencies, and other eligible organizations per NIH guidelines. Foreign components are allowed. Confirm the full requirements in the official notice before applying.
The current listing shows applicants should request a budget appropriate for the proposed scope of work, not to exceed $450,000 in direct costs per year for UG3 and $1,000,000 in direct costs for UH3 phases. Verify award ceilings, matching requirements, and allowable costs in the official notice.
Applications for Model-to-Clinic (M2C) for Precision Medicine with AI: Integrating Imaging with Multimodal Data (PRIMED-AI) (UG3/UH3, Clinical Trial Optional) are due October 19, 2026. Build your timeline backwards from this date to cover registrations, approvals, and final submission checks.
Model-to-Clinic (M2C) for Precision Medicine with AI: Integrating Imaging with Multimodal Data (PRIMED-AI) (UG3/UH3, Clinical Trial Optional) is funded by National Institutes of Health Common Fund. Verify program details on the funder's official page before applying.
Start from the official opportunity page linked in this listing — it carries the sponsor's submission instructions.
Past winners and funding trends for this program
NOT-RM-26-004 asks the public for NIH-wide research challenges worth a 10-year, cross-institute program. There is no budget, no biosketch, no page limit, and no award. What there is: the five criteria every Common Fund investment has met since 2006, a new bullet about small-lab burden, and a fund whose FY 2026 request came in at $347.4 million — down 49.3 percent.
Read articleThe NIH Common Fund launched PRIMED-AI — Precision Medicine with AI: Integrating Imaging with Multimodal Data — as five coordinated funding opportunities (RFA-RM-27-011 through -015) that build a full pipeline from standards to clinic. Here is how the Playbook, Data-to-Model partnerships, Model-to-Clinic translation, Validation Center, and Logistics Center fit together, what each pays, who is eligible, and how to position before the October 2026 deadlines.
Read articleAvoid common NIH grant proposal mistakes including vague specific aims, weak methodology, and poor budget justification that lead to rejection.
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