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Find similar grantsBridge2AI Program is sponsored by National Institutes of Health (NIH). This program funds the creation of ethically sourced, machine-learning-ready biomedical datasets to accelerate the use of AI in health.
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Bridge to Artificial Intelligence (Bridge2AI) | NIH Common Fund Bridge to Artificial Intelligence (Bridge2AI) Bridge to Artificial Intelligence (Bridge2AI) NIH Common Fund’s Bridge to Artificial Intelligence Program (Bridge2AI) The NIH Common Fund’s Bridge to Artificial Intelligence program (Bridge2AI) aims to bridge the gap between biomedical and behavioral research and artificial intelligence (AI).
Learn how this exciting new program will bring together diverse teams to generate tools, resources, and richly detailed AI-ready data that is accurate, reliable, and ethically sourced. The program will also create training materials, best practices, and activities to support workforce development across different research communities.
The NIH Common Fund’s Bridge to Artificial Intelligence (Bridge2AI) program will propel biomedical research forward by setting the stage for widespread adoption of artificial intelligence (AI) that tackles complex biomedical challenges beyond human intuition.
Resources from Bridge2AI Stage I The first stage of the Bridge2AI program tackled a key gap in the biomedical research community by generating new “flagship” data sets and best practices for machine learning (ML) analysis. These datasets were collected and processed with AI modeling in mind.
To complement these datasets, the program also developed: software, standards, tools, best practices and training materials for workforce development. The resources generated by the first stage of the program are available through the Bridge2AI portal .
The second stage of the program will build upon the accomplishments of Stage 1 to use the generated data, tools and best practices to deliver trusted solutions to address major biomedical and behavioral health challenges.
The second stage of Bridge2AI will support two initiatives to propel AI health research: Innovation Funnels – Using AI-ready datasets (including datasets from Bridge2AI Stage 1), the innovation funnels will create tools, devices, and novel insights that use AI to improve health.
Network for AI Health Science - The program will create a network for AI health science that will bring together a network of scientific experts to develop safety measures for responsible AI use and research. This network will also build a framework to inform future AI health sciences research.
Together, the Innovation Funnels and Research Network will generate an ecosystem of research teams that will use AI-enabled tools and solutions to address key health challenges. By improving health and promoting responsible use of AI in medicine, the program aims to build public trust in AI-informed health research and care.
Bridge2AI Approved for 2nd Stage, watch the Jan 2026 Council of Council presentation (starts at 04:03:00) Bridge2AI investigator, Dr. Yael Bensoussan, shares how voice and AI could help detect disease on the Chasing Life podcast Bridge2AI preliminary datasets now available Dr. Chris Kinsinger, Bridge2AI Program Officer, meets with other health care experts at the Health IT Summit to weigh in on AI Learn about the exciting work our researchers are doing.
Team Building & Networking Visit the Bridge2AI Platform (registration required) to hear from NIH leaders, watch videos from the June 2021 Team Building Activities, and join the conversation on Slack . NIH Institute and Center Directors’ Welcome This page last reviewed on
According to the current listing, eligibility includes: Researchers and institutions engaged in biomedical data science and AI development. Confirm the full requirements in the official notice before applying.
The current listing shows $130 million (program total). Verify award ceilings, matching requirements, and allowable costs in the official notice.
Bridge2AI Program is funded by National Institutes of Health (NIH). 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.
Smart Health and Biomedical Research in the Era of Artificial Intelligence and Advanced Data Science (SCH) is sponsored by National Science Foundation (NSF) and National Institutes of Health (NIH). This interagency program supports transformative, high-risk/high-reward advances in computer and information science, engineering, mathematics, statistics, behavioral, and/or cognitive research to address pressing questions in biomedical and public health. It encourages scientific and engineering innovations by interdisciplinary teams to develop novel methods to collect, sense, connect, analyze, and interpret data from individuals, devices, and systems, enabling discovery and optimizing health. This includes applying AI in healthcare.
NIH NCI Pathway to Independence Award for Early-Stage Postdoctoral Researchers (K99/R00) is a grant from the National Institutes of Health (NIH) / National Cancer Institute (NCI) that funds early-stage postdoctoral researchers in cancer-related fields to transition to independent research careers. The award provides a mentored phase (K99) followed by an independent phase (R00), supporting investigators who do not require an extended period of supervised training beyond their doctoral degrees. Eligible applicants must hold a research or clinical doctoral degree and be postdoctoral fellows who have not yet established independent research careers. The March 11, 2026 due date applies; award amounts vary by project.
NIH R25 Summer Research Education Experience Program is a grant from the National Institutes of Health (NIH) that funds universities and institutions of higher education to provide summer research experiences in environmental health sciences to high school students, college undergraduates, and science teachers. Administered through the National Institute of Environmental Health Sciences (NIEHS), the program aims to attract young people to scientific careers and help teachers communicate about the scientific process more effectively. Eligible applicants are U.S. institutions eligible for NIH grants. The application deadline was March 17, 2026.
NIH's June 1 omnibus reset added Direct-to-Phase II to the STTR program for the first time. The change compresses university spinouts' funding timeline from three years to fifteen months, but the 30% research-institution subaward, feasibility-evidence rules, and IP licensing mechanics are not yet sorted at most universities.
Read articleNIH committed $402 million across 601 multiyear-funded grants in the first eight months of FY 2026 — more than four times the pace of two years ago. The mechanism front-loads obligations into a single fiscal year, leaving less budget for new project starts and squeezing FY 2026 success rates. What researchers and institutions should be doing now.
Read articlePAR-26-042 funds NLM-priority clinical informatics R01 grants up to $250,000 in direct costs per year through March 6, 2029, with standard NIH cycles on October 5, February 5, and June 5. The notice explicitly defines non-responsive applications: incremental tool improvements, projects primarily focused on social determinants of health, and projects primarily focused on ethical/legal/social issues. With NIH SBIR/STTR just reopened and the OMB Uniform Grants Regulation rewrite reshaping discretionary awards, the NLM clinical informatics line is one of the few stable, well-defined biomedical funding streams left at the agency. Here is how to read it.
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