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Bridge2AI is the NIH Common Fund's flagship program for making biomedical data usable by artificial intelligence, and on 29 January 2026 the NIH Council of Councils approved its advance to Stage 2 with approximately $130,000,000 over four years, pending appropriations.
The strategic shift in Stage 2 is significant and worth understanding before applying: Stage 1 was about generating flagship AI-ready datasets across domains such as voice as a biomarker, salutogenesis, cellular maps, and critical care. Stage 2 moves downstream to building things with them. Two initiatives are named.
Innovation Funnels will use AI-ready datasets, including those produced in Stage 1, to create tools, devices, and novel insights that apply AI to improve health - the channel for diagnostic algorithms, drug discovery platforms, and clinical decision support that can demonstrate measurable health impact.
The Network for AI Health Science will assemble scientific experts to develop safety measures for responsible AI use and research, giving the program an explicit AI safety and governance component alongside its translational aims. As of writing, Stage 2 funding opportunity announcements had not been posted to the Bridge2AI funding page; based on the Stage 1 timeline, RFAs were anticipated around mid-2026.
Prospective applicants should join the NIH Bridge2AI listserv and monitor commonfund. nih. gov/bridge2ai/funding, since Common Fund RFAs typically allow short preparation windows relative to their scale.
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Or search similar grants →According to the current listing, eligibility includes: Eligibility criteria for Stage 2 have not been published, as the funding opportunity announcements were not yet posted at time of writing. NIH Common Fund programs of this type are typically open to domestic and, in some cases, foreign institutions of higher education, nonprofit organizations, for-profit organizations including small businesses, and government entities, with a strong expectation of multidisciplinary teams spanning biomedical domain science, data science, AI/ML methods, and ethics. Stage 2 comprises two initiatives - Innovation Funnels and a Network for AI Health Science. Interested applicants should subscribe to the NIH Bridge2AI listserv and monitor the Bridge2AI funding page for the RFAs and their specific eligibility and budget terms. Confirm the full requirements in the official notice before applying.
The current listing shows the NIH Council of Councils approved approximately $130,000,000 over four years for Bridge2AI Stage 2, pending appropriations. This figure is the total program commitment - per-award budget caps have not yet been published because the Stage 2 funding opportunity announcements were not yet posted at time of writing. For reference, Stage 1 Data Generation Projects were funded at roughly $16,000,000 to $25,000,000 each over four years. Verify award ceilings, matching requirements, and allowable costs in the official notice.
NIH Common Fund Bridge to Artificial Intelligence (Bridge2AI) Stage 2 for AI Tools, Devices and Safety Frameworks in Biomedical Research is funded by U.S. 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.
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 AI3 Action Institute is a federal effort to build dedicated AI capacity within Native communities rather than fund a single applied AI project. The awardee establishes and operates an AI resource hub for Native communities, providing technology information, facilitating information sharing and technology deployment across tribal and Native-serving organizations, and conducting stakeholder engagement and coalition building across industry, government and academic sectors. Notably, allowable costs cover short-to-medium-term staff costs including the Institute's director as well as facility setup - a recognition that the binding constraint in this space is institutional infrastructure and staffing, not project ideas. The financial structure is the detail that most shapes strategy: with a $2,500,000 floor, a $3,500,000 ceiling and $3,500,000 in total expected program funding across a three-year period, this is effectively a single-award competition, so applicants should assume they are competing for the entire program rather than for a slot in a cohort. Eligibility is restricted to Native-serving entities - federally recognized Indian tribes, incorporated non-federally or state-recognized tribes, consortia of Indian tribes, Native community-based organizations, Urban Indian Organizations, Alaska Native villages and entities, Native Hawaiian serving agencies, Native Pacific Islander serving agencies, and tribal colleges and universities. That eligibility list is broader than many ACF opportunities, extending to Native Hawaiian and Pacific Islander serving agencies as well as tribal entities. Applicants should expect the strongest proposals to combine an existing convening role in Native technology or education with a realistic plan for standing up durable staff capacity within the grant period, since a hub that dissolves when funding ends would not serve the program's purpose. The deadline is August 27, 2026, and applications are submitted through Grants.gov under opportunity number 362270.
The 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.
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Read articleThe NIH Director's New Innovator Award (DP2, RFA-RM-27-002) closes August 17, 2026, offering roughly 30 Early Stage Investigators up to $475,000 in direct costs a year for five years — $2.375 million total — to pursue bold ideas without the preliminary data a standard R01 demands. Here is how the High-Risk, High-Reward program actually evaluates applications, who qualifies, and why the usual R01 instincts will sink you.
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