1,000+ Opportunities
Find the right grant
Search federal, foundation, and corporate grants with AI — or browse by agency, topic, and state.
Model-to-Clinic is the translation arm of PRIMED-AI and sits one step downstream of the companion D2M-AIP announcement (RFA-RM-27-012).
Where D2M-AIP funds the creation of AI-enabled multimodal clinical decision support tools, M2C funds the harder and less glamorous work of taking a tool that already exists as a validated prototype and getting it to function in real clinical settings - which means confronting workflow integration, site-to-site generalizability, clinician trust, regulatory pathway and sustainability all at once.
The distinction matters for applicants because the two announcements share a deadline and a mechanism but reward very different evidence. A team with promising model performance and no deployment experience should apply to D2M-AIP; a team applying to M2C needs to arrive with a validated prototype and a credible clinical partner already in place.
The UH3 cap here is $1,000,000 in direct costs per year, higher than D2M-AIP's $800,000, reflecting the cost of clinical implementation work. NIMH administers this announcement on behalf of the Common Fund, though the scope is not limited to mental health - PRIMED-AI as a whole targets significant health challenges broadly, with clinical imaging integrated with multimodal health data as the unifying technical thread.
Awards are made under a phased UG3/UH3 cooperative agreement, so milestone definition governs whether a project advances past the exploratory phase. Successful tools developed under this and the other PRIMED-AI development announcements will be independently assessed by the program's Validation Center (RFA-RM-27-014), which applicants should anticipate in how they document performance and reproducibility.
Foreign organizations are eligible, and the emphasis throughout is on tools that are not merely accurate but reliable, cost-effective and sustainable in routine care.
Get a weekly digest of new grants like this
A free weekly digest of new foundation and federal funding opportunities as they're added to Granted. Unsubscribe anytime.
Or search similar grants →According to the current listing, eligibility includes: Eligible applicants include higher education institutions, nonprofit organizations with 501(c)(3) status, for-profit organizations, state and local governments, Native American tribal governments, and foreign organizations. Applications must propose taking an AI-based multimodal clinical decision support tool from validated prototype to clinical application, which in practice requires an existing validated prototype and committed clinical implementation partners at the time of application. Tools must integrate clinical imaging with multimodal health data and address a significant health challenge, with demonstrated attention to reliability, cost-effectiveness and sustainability rather than model accuracy alone. The award uses a phased UG3/UH3 cooperative agreement with milestone-gated transition; total project period may not exceed five years. The opportunity opens September 19, 2026 with applications due October 19, 2026. Applicants whose tools are still at the model development stage should consider the companion announcement RFA-RM-27-012 (D2M-AIP) instead. Confirm the full requirements in the official notice before applying.
The current listing shows applicants may request up to $450,000 in direct costs per year during the UG3 phase and up to $1,000,000 in direct costs per year during the UH3 phase, over a total project period not exceeding five years. The NIH Common Fund intends to fund approximately 6 to 8 UG3/UH3 awards, implying full award values in the range of roughly $3,000,000 to $4,000,000 in direct costs across both phases. Verify award ceilings, matching requirements, and allowable costs in the official notice.
Applications for NIH Common Fund PRIMED-AI RFA-RM-27-013 Model-to-Clinic (M2C) for Translating Validated AI Clinical Decision Support Tools into Practice are due October 19, 2026. Build your timeline backwards from this date to cover registrations, approvals, and final submission checks.
NIH Common Fund PRIMED-AI RFA-RM-27-013 Model-to-Clinic (M2C) for Translating Validated AI Clinical Decision Support Tools into Practice is funded by U.S. National Institutes of Health (NIH) Common Fund, Office of Strategic Coordination, administered by the National Institute of Mental Health (NIMH). 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 articleSAMHSA distributed $794M in block grants for mental health and substance abuse programs. Here's how community organizations can access these funds through state subgrant processes.
Read article