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The NIH Common Fund's Bridge to Artificial Intelligence (Bridge2AI) program accelerates the use of AI in biomedical and behavioral research by generating ethically sourced, AI-ready datasets and the tools to use them. On January 29, 2026, the NIH Council of Councils approved Bridge2AI to advance to Stage 2, with approximately $130 million over four years (pending appropriations).
Stage 2 will fund Innovation Funnels that translate Bridge2AI's flagship datasets into validated clinical tools, and a Network for AI Health Science that develops safety, validation, and benchmarking protocols for health AI. Stage 2 RFAs had not yet been posted as of mid-2026 but are expected during 2026, with individual award amounts to be specified in those announcements.
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Or search similar grants →According to the current listing, eligibility includes: Expected to include U.S. universities, academic medical centers, nonprofit research organizations, and partners with biomedical data, AI/ML, and ethics expertise. Specific eligibility will be defined in the forthcoming Stage 2 RFAs. Confirm the full requirements in the official notice before applying.
The current listing shows approximately $130 million in total program funding over four years (pending availability of funds); individual award amounts to be specified in forthcoming Stage 2 RFAs. Verify award ceilings, matching requirements, and allowable costs in the official notice.
NIH Common Fund Bridge2AI Stage 2 for AI-Ready Health Datasets, Innovation Funnels, and AI Health Science Network is funded by National Institutes of Health (NIH) 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.
NIH Director's Transformative Research Award for Individual and Group Science (R01 Clinical Trial Optional) (RFA-RM-27-003) is sponsored by National Institutes of Health (NIH) Common Fund. This award supports individual scientists or groups proposing bold, groundbreaking, exceptionally innovative, original, and/or unconventional research with the potential to create new scientific paradigms, establish entirely new and improved clinical approaches, or develop trans…
Development and Testing of a Multi-use Frameworks Playbook for Precision Medicine with AI: Integrating Imaging with Multimodal Data (PRIMED-AI) (U01 Clinical Trial Not Allowed) is sponsored by National Institutes of Health (NIH) Common Fund. This opportunity focuses on developing and testing standard processes to support responsible AI use, data management, and regulatory readiness within the context of the PRIMED-AI program, which aims to integrate clinical imaging with other health data for AI-powered clinical decision support tools.
The FY2026 Department of Defense Multidisciplinary University Research Initiative (MURI) program supports basic research in science and engineering at U.S. institutions of higher education, with emphasis on multidisciplinary research where more than one traditional discipline interacts. The Army, Navy, and Air Force basic research offices are seeking applications across 22 topic areas including artificial intelligence and autonomy, information sensing and processing, and systems manipulation. MURI grants typically provide $1.25 million to $1.5 million per year for three years with option to extend two additional years. Approximately $170 million in total funding is available annually across all topics. The program is administered through the Office of Naval Research (ONR), Army Research Office (ARO), and Air Force Office of Scientific Research (AFOSR).
The NSF Convergence Accelerator is a grant from the National Science Foundation (NSF) that funds multidisciplinary teams working to solve national-scale societal challenges through convergence research and innovation. Launched in 2019 under NSF's Directorate for Technology, Innovation and Partnerships, the program operates in two phases: Phase 1 awards are up to $750,000, with successful teams advancing to larger Phase 2 awards. Eligible applicants include institutions of higher education and nonprofit or for-profit organizations. Track I and Track K focus on specific high-priority topics announced each funding cycle. The next deadline is June 15, 2026. Proposals must comply with updated NSF research security policies effective July 2025.
The USDA Specialty Crop Research Initiative (SCRI) 2026 provides $175 million in annual funding for research addressing the needs of the specialty crop industry, with a groundbreaking new $20 million set-aside for mechanization and automation research. For the first time, the SCRI Notice of Funding Opportunity explicitly funds AI-driven automation technologies to help specialty crop growers reduce labor costs, which have been among the most persistent financial pressures in fruit, vegetable, tree nut, and horticulture production. Priority areas include data-driven predictive tools using artificial intelligence, robotics, sensor technologies, precision agriculture, improved mechanization technologies that delay or inhibit ripening, decision support systems, management of quarantine pests, and cybersecurity for agricultural systems. The funding increase was enabled by the Working Families Tax Cuts legislation, more than doubling the previous SCRI budget from $80 million to $175 million per year. Applications are due by 5:00 PM Eastern Time on June 15, 2026. This represents the largest federal investment specifically targeting AI and automation in specialty crop agriculture.
Avoid common NIH grant proposal mistakes including vague specific aims, weak methodology, and poor budget justification that lead to rejection.
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