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The PRIMED-AI Validation Center is a single-award opportunity to build the independent evaluation infrastructure for the entire NIH Common Fund PRIMED-AI program.
Its function is to serve as a dedicated hub that verifies, validates and characterizes the AI-enabled, image-based multimodal clinical decision support tools produced by other PRIMED-AI awardees, assessing reliability, reproducibility and generalizability with an eye toward clinical adoption.
This is a structurally different proposition from a research grant and applicants should read it that way: the Center is a service and methods organization accountable to a consortium, not a lab pursuing its own scientific agenda.
Competitive applicants will need existing capacity in AI model evaluation, access to diverse and independent clinical validation datasets spanning multiple sites and populations, expertise in regulatory science given the Software as a Medical Device framing of the tools being evaluated, and the organizational maturity to run a benchmarking operation on someone else's timeline.
Because only one award is expected, this is a winner-take-all competition, and the budget structure is notably front-loaded in an unusual way - $2,000,000 in direct costs in year one rising to as much as $3,200,000 per year thereafter, making this among the largest single awards in the PRIMED-AI portfolio. Foreign organizations and foreign components are not eligible, unlike the program's tool-development announcements.
Institutions that intend to submit tool-development applications under RFA-RM-27-012 or RFA-RM-27-013 should think carefully about the independence expectations before also competing for the Validation Center role. The October 2, 2026 deadline is shared with the Logistics Center announcement (RFA-RM-27-015), the program's companion coordinating infrastructure award.
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Or search similar grants →According to the current listing, eligibility includes: Eligible applicants include public and private higher education institutions, nonprofit organizations with and without 501(c)(3) status, for-profit organizations, and state, local and tribal governments. Foreign organizations and non-U.S. components are not eligible. The award uses the U54 specialized center cooperative agreement mechanism with clinical trials not allowed. Only one award is anticipated, contingent on the availability of funds and receipt of sufficiently meritorious applications. Applicants must demonstrate capacity to independently evaluate AI-enabled image-based multimodal clinical decision support tools developed by other PRIMED-AI consortium members, including access to independent multi-site validation data, expertise in AI model evaluation and regulatory science, and the ability to operate as consortium-serving infrastructure. Budgets are capped at $2,000,000 direct costs in year one and up to $3,200,000 direct costs per year in years two through five; the project period may not exceed five years. Applications are due October 2, 2026 by 5:00 PM local time. Confirm the full requirements in the official notice before applying.
The current listing shows A single U54 award is anticipated. The budget is capped at $2,000,000 in direct costs in the first year and up to $3,200,000 in direct costs per year in years two through five, over a project period not exceeding five years. NIH intends to commit approximately $2,700,000 in FY2027 to fund this award. Verify award ceilings, matching requirements, and allowable costs in the official notice.
Applications for NIH Common Fund PRIMED-AI RFA-RM-27-014 Validation Center for Independent Evaluation of AI-Enabled Multimodal Clinical Decision Support Tools are due October 2, 2026. Build your timeline backwards from this date to cover registrations, approvals, and final submission checks.
NIH Common Fund PRIMED-AI RFA-RM-27-014 Validation Center for Independent Evaluation of AI-Enabled Multimodal Clinical Decision Support Tools is funded by U.S. National Institutes of Health (NIH) Common Fund, Office of Strategic Coordination, administered by the National Institute of Biomedical Imaging and Bioengineering (NIBIB). 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.
The NSF Computer and Information Science and Engineering: Future Computing Research (Future CoRe) program (NSF 25-543) supports foundational computing research and education with a strong emphasis on AI and machine learning. The program funds research that advances the foundations of computing including AI/ML theory, algorithms, systems, and applications. Future CoRe supports small to medium-sized research projects that can have significant impact on computing foundations. The program has target dates of February 5, 2026 and September 10, 2026 for proposal submissions (note: these are target dates, not deadlines, meaning proposals may be submitted at any time but will be reviewed in batches around these dates). Investigators may not serve as PI, co-PI, or Senior/Key Personnel on more than two proposals submitted within any consecutive 12-month period across all Future CoRe programs. This is one of NSF's primary mechanisms for funding fundamental AI and machine learning research at U.S. academic institutions, covering areas such as machine learning theory, natural language processing, computer vision, robotics foundations, and human-AI interaction.
The ONR Long Range Broad Agency Announcement (N00014-25-S-B001) is the Office of Naval Research's primary mechanism for soliciting research proposals across all naval science and technology priority areas. The BAA accepts proposals on a rolling basis through September 30, 2026 and covers ONR's full spectrum of research interests with particular emphasis on AI-related topics including autonomous maritime systems, human-machine teaming, machine learning for sensor fusion, cooperative autonomous swarm technology, undersea autonomy, and AI-enabled decision superiority. Proposals can be funded through multiple mechanisms including individual investigator grants, the Young Investigator Program (~$510K over 3 years for early-career faculty), and Multidisciplinary University Research Initiative (MURI) awards ($1.5M/year for 3-5 years for research teams). ONR recommends contacting relevant program officers before submitting to discuss alignment with current research priorities. The BAA supports basic research (6.1), applied research (6.2), and advanced technology development (6.3) across the full range of naval-relevant science and engineering disciplines.
DE-FOA-0003600 is the DOE Office of Science's FY 2026 open, rolling solicitation for financial assistance, providing roughly $500 million across seven program areas: Advanced Scientific Computing Research, Basic Energy Sciences, Biological and Environmental Research, Fusion Energy Sciences, High Energy Physics, Nuclear Physics, and Isotope R&D and Production. AI and machine learning research is supported directly through Advanced Scientific Computing Research, while Biological and Environmental Research funds atmospheric process research, environmental systems process research, and earth-energy systems modeling — making this a major channel for AI-enhanced climate and earth system modeling work. DOE anticipates 200 to 350 new awards ranging from $5,000 to $5 million each, with project periods from six months to five years. The FOA opened September 30, 2025 and accepts applications on a rolling basis through the end of FY 2026.
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 articleNIH published its 'what we heard' summary on the proposed cap on simultaneous Research Project Grants in August 2026. A four-RPG cap would free $1.3 billion for about 1,900 additional investigators; a two-RPG cap would free roughly $3.5 billion for about 5,200. Respondents overwhelmingly proposed alternatives. Here is what the comment record actually says, what NIH signaled about next steps, and how PIs and research offices should position before a policy notice lands.
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