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Data-to-Model: An Academic-Industrial Partnership (D2M-AIP) 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 program supports multidisciplinary teams from academia and industry to integrate and harmonize novel multiscale, multimodal data with clinical imaging data, and develop and test novel AI-enabled, image-centered, multimodal clinical decision support tools. The goal is to move promising technologies toward regulatory readiness and future clinical use.
Projects must use clinical imaging as the anchor data type and integrate at least one additional data modality.
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Or search similar grants →According to the current listing, eligibility includes: Eligible organizations include universities, nonprofit research organizations, small businesses, and other for-profit organizations. Applications must include a designated MPI from at least one academic institution and one industry partner. Foreign organizations are eligible. Confirm the full requirements in the official notice before applying.
The current listing shows up to $450,000 in direct costs per year for UG3 and up to $800,000 in direct costs per year for UH3 phases; total duration up to 5 years. NIH expects to fund approximately 6-8 awards. Verify award ceilings, matching requirements, and allowable costs in the official notice.
Applications for Data-to-Model: An Academic-Industrial Partnership (D2M-AIP) 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.
Data-to-Model: An Academic-Industrial Partnership (D2M-AIP) 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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