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Bridge to Artificial Intelligence (Bridge2AI) is sponsored by National Institutes of Health (NIH) Common Fund. This flagship NIH program is committed to building AI-ready biomedical datasets and ethical frameworks for their use. Stage 2 shifts focus from dataset creation to delivering these resources as trusted, deployable tools for specific health challenges.
Institutions that built infrastructure under Stage 1 are well-positioned for continuations.
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Or search similar grants →According to the current listing, eligibility includes: Institutions that built infrastructure under Stage 1 are well-positioned to compete for continuations. Organizations involved in biomedical data science and AI. Confirm the full requirements in the official notice before applying.
The current listing shows $130 million over four years (Common Fund commitment). Verify award ceilings, matching requirements, and allowable costs in the official notice.
Bridge to Artificial Intelligence (Bridge2AI) is funded by National Institutes of Health (NIH) Common Fund. Verify program details on the funder's official page before applying.
Yes — this listing is flagged as national in scope, so applicants across the U.S. may apply, subject to the sponsor's other eligibility criteria.
Applications go through the funder's official portal — the Apply Now link on this page goes there directly.
Past winners and funding trends for this program
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.
NCI Continuing Umbrella of Research Experiences (CURE) Academic Career Excellence (ACE) Award (K32) is a grant from the National Cancer Institute (NCI) that funds early postdoctoral fellows from diverse backgrounds, including underrepresented groups, to pursue research training in cancer-related fields. The K32 award supports fellows within 12 months prior to transitioning into, or within the first two years of, a postdoctoral position. The program, operated through NCI's Center to Reduce Cancer Health Disparities (CRCHD), aims to enhance the pool of qualified diverse cancer researchers. Beginning with the June 12, 2025 due date, the CURE ACE Award is available in both Independent Clinical Trial Required and Independent Clinical Trial Not Allowed versions. Eligible applicants must be U.S. citizens or permanent residents at time of award.
Innovation Grant is a grant from the Delta Dental of Arizona Foundation that funds nonprofit organizations pursuing unique, high-impact projects that improve health and wellness in Arizona communities. This two-year award supports original initiatives with measurable real-world impact, including programs serving underserved and uninsured populations through oral health education, disease prevention, and nutritional access. Projects must demonstrate the potential to make a meaningful difference in the community and stand apart from conventional approaches. Eligible applicants are Arizona-based nonprofit organizations. Awards total $100,000 per recipient over two years. The 2026 application cycle closed October 16, 2025, with recipients notified in late 2025 and funding made available shortly after.
Avoid common NIH grant proposal mistakes including vague specific aims, weak methodology, and poor budget justification that lead to rejection.
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