Bridge2AI Network for AI Health Science
🏛 National Institutes of Health (HHS-NIH11)
✓ Free, no account · Source: Grants.gov · Last verified Jul 15, 2026
Can you apply?
This grant is for research institutions and multidisciplinary research centers advancing AI science in biomedical and behavioral research. Eligible applicants typically include universities, medical centers, and nonprofit research organizations with capacity to host a Center. Projects must leverage AI-ready datasets from Bridge2AI Stage 1 or develop frameworks for trustworthy, reproducible AI in health research. This is a cooperative agreement that expects institutional commitment to convene researchers, evaluate AI models, and contribute to workforce training and dissemination activities.
Applicants should have demonstrated expertise in AI methods, biomedical or behavioral research, and multidisciplinary collaboration. The program supports 3-5 Centers nationally. Institutional experience with large collaborative networks and NIH grant management is expected.
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Key dates
- Jul 8, 2026 Applications open
- Mar 1, 2027 Application deadline in 228 days
- Aug 1, 2027 Award announced
- Aug 1, 2027 Project start
Program description
The purpose of this forecast is to inform the research community that the NIH Common Fund, along with its partner NIH Institutes, Centers, and Offices, is planning to issue a notice of funding opportunity (NOFO) to support the continuation of the Bridge2AI program. Stage 1 of the Bridge2AI program produced unique, large-scale, valuable, and open resource, AI-ready datasets and best practices that the scientific community can adopt. The second stage of the program will foster advances on two fronts: 1) Leverage the AI-ready datasets from Stage 1 to yield products that can address biomedical and behavioral research grand challenges, accelerate the discovery of new biological theories and rules, and advance understanding of biological and behavioral mechanisms of health and disease; 2) Create networks of multidisciplinary researchers to advance the science of AI science by developing necessary metrics and a framework to for trustworthy, reproducible and explainable AI-enabled biomedical and behavioral research.
This forecast is being provided to allow potential applicants sufficient time to develop meaningful collaborations and responsive projects.
This NOFO will utilize the U24 activity code.
The NOFO will support a research initiative that will create a network of multidisciplinary Centers to advance the science of AI science. Centers will work across the evolving landscape of AI science to create a framework for trustworthy, reproducible and explainable AI-enabled biomedical and behavioral research. Center activities will include evaluation of AI models and products built through other initiatives in the program and other sources, convening expert panels and round tables, supporting pilot research activities, multidisciplinary cross-training and dissemination activities to help grow the nascent field of biomedical and behavioral research AI science. The Network of Centers will produce best practices for AI methods and trustworthy AI model building principles, frameworks to enable the evaluation of AI models and methods for reproducibility, replicability and transparency, guiding principles for agentic autonomous labs of the future, and multidisciplinary training to strengthen the American biomedical and behavioral research AI workforce. This initiative will support 3-5 Centers, and is one of twoInitiatives under the Bridge2AI program, the other of which will be supported by a research contract.
Who can apply
Eligible applicants
How to apply
Application links
Key dates & requirements
Required documents
- SF-424 (R&R) application form
- Project Narrative / Research Strategy
- Budget and Budget Narrative
- Biographical sketches (NIH format) for key personnel
- Current and Pending Support (other funding)
- Institutional commitment letters and data use agreements
- Letters of support from collaborating institutions
Program contact
- 👤 Bridge2AI Program Inbox
- 📧 Bridge2AI@od.nih.gov
- 📞 Please contact via email.
Funding track record
Recent awards under CFDA 93.310 from the last 3 years — real organizations that won funding through this same program.
Top 10 Largest Recent Awards
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$973,507,476
-
$383,462,829
-
$190,396,050
-
$179,737,926
-
$169,422,678
-
$167,922,818
-
$147,947,250
-
$143,679,156
-
$115,739,255
-
$91,722,927
Top States by Funding
- CA 3 awards $1,196.2M
- NC 4 awards $446.1M
- WA 1 awards $383.5M
- MD 2 awards $317.4M
- NY 4 awards $261.2M
Source: USAspending.gov — federal spending transparency. Data covers last 3 years.
Funding history
Annual funding for this program — Federal obligations (CFDA 93.310). How funding has trended year over year.
| 2024 | $1,174,839,078 | |
| 2025 | $1,062,277,534 | |
| 2026 est. | $28,100,048 |
FAQ
What types of organizations can apply?
Research institutions, universities, medical centers, and nonprofit research organizations. Your institution must have capacity to house and convene a multidisciplinary Center.
What are the funding amounts?
Awards range from $1,000,000 to $7,000,000 total. This is a cooperative agreement with NIH oversight and collaboration.
What are the main project activities?
Centers evaluate AI models, convene expert panels, support pilot research, provide cross-training, and develop best practices for trustworthy AI in biomedical research.
Is cost-sharing required?
No. This grant does not require matching funds or cost-sharing from your institution.
How many awards will be made?
NIH plans to fund 3-5 Centers through this initiative. Competition is expected to be significant.
💡 Tips for applicants
- Build a truly multidisciplinary team before submitting. Include AI experts, biomedical researchers, behavioral scientists, and bioethics specialists.
- Clearly describe how your Center will use or advance the Bridge2AI Stage 1 datasets and resources in your proposal.
- Detail your capacity to convene researchers nationally and your track record hosting collaborative networks.
- Emphasize your plans for workforce development, training, and open dissemination of best practices.
- Address how your Center will evaluate AI models for reproducibility, transparency, and trustworthiness.
⚠️ Common mistakes
Weak multidisciplinary partnerships or unclear leadership roles across AI, biomedical, and behavioral research. Vague plans for Center activities, convening capacity, or how you'll contribute to the field beyond your own research. Insufficient detail on workforce training strategy and dissemination approach to the broader research community.
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