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The NSF FDT-BioTech program, a joint initiative of the National Science Foundation, National Institutes of Health, and the Food and Drug Administration, supports inherently interdisciplinary research projects that underpin the mathematical and engineering foundations behind the development and use of digital twins and synthetic data in biomedical and healthcare applications.
The program has a particular focus on digital, in silico models used in the evaluation of medical devices. Projects combine AI and machine learning with mathematical sciences and domain knowledge to develop computational models that can simulate biological systems, predict treatment outcomes, and accelerate medical device evaluation.
Each project requires at least two collaborating Senior/Key Personnel with participation from both mathematical sciences and at least one domain knowledge discipline. The program runs annually with a deadline on the first Monday in May.
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Or search similar grants →According to the current listing, eligibility includes: Proposals accepted only from accredited Institutions of Higher Education (IHEs) located in the United States. Each PI or co-PI is limited to one proposal maximum per cycle. Minimum requirement of at least two collaborating Senior/Key Personnel with participation from both mathematical sciences and at least one domain knowledge discipline. Collaborative projects from multiple organizations must not exceed $1,000,000 total budget. Confirm the full requirements in the official notice before applying.
The current listing shows up to $1,000,000 per collaborative project from multiple organizations over up to 3 years. Total program funding approximately $4,000,000 to $5,000,000 annually across 6-10 awards. First cohort awarded over $6 million across seven projects. Verify award ceilings, matching requirements, and allowable costs in the official notice.
Applications for NSF FDT-BioTech Foundations for Digital Twins as Catalyzers of Biomedical Technological Innovation are due May 3, 2027. Build your timeline backwards from this date to cover registrations, approvals, and final submission checks.
NSF FDT-BioTech Foundations for Digital Twins as Catalyzers of Biomedical Technological Innovation is funded by National Science Foundation, National Institutes of Health, and Food and Drug Administration. 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.
The HEAL Initiative's Studies to Enable Analgesic Discovery award (RFA-NS-25-023) puts federal money exactly where private capital won't go — the assay-building, screening, and hit-characterization stage of non-opioid pain therapeutics. It's a phased R61/R33, up to $350,000 in direct costs per year, with the next application deadline September 17, 2026. Here is how the two-phase structure works, who's eligible, and how to build a proposal that survives the R61-to-R33 milestone gate.
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