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NLM Institutional Grants for Research Training in Biomedical Informatics, Data Science, and AI (T15 Independent Clinical Trial Not Allowed) is sponsored by National Library of Medicine (NLM), National Institutes of Health (NIH). This grant funds institutions to create or renew training programs that prepare researchers in biomedical informatics, data science, and AI/ML to tackle complex health and biomedical challenges.
It emphasizes cutting-edge, forward-looking training experiences that equip trainees to address health and biomedical challenges through advanced computational approaches.
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Or search similar grants →According to the current listing, eligibility includes: Other Native Tribal Organizations, Tribal Governments, Tribally Designated Housing Entities, Tribally-Owned Business. Non-domestic (non-U.S.) Entities (Foreign Institutions) are not eligible to apply. Confirm the full requirements in the official notice before applying.
The current listing shows award Ceiling: $775,000.00; Award Floor: $500,000.00; Estimated Total Program Funding: $17,100,000.00. Verify award ceilings, matching requirements, and allowable costs in the official notice.
Applications for NLM Institutional Grants for Research Training in Biomedical Informatics, Data Science, and AI (T15 Independent Clinical Trial Not Allowed) are due February 11, 2027. Build your timeline backwards from this date to cover registrations, approvals, and final submission checks.
NLM Institutional Grants for Research Training in Biomedical Informatics, Data Science, and AI (T15 Independent Clinical Trial Not Allowed) is funded by National Library of Medicine (NLM), National Institutes of Health (NIH). 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.
Past winners and funding trends for this program
Regional Medical Libraries for the National Network of the National Library of Medicine (UG4) is sponsored by National Library of Medicine (NLM), National Institutes of Health (NIH). This program supports Regional Medical Libraries (RMLs) within the Network of the National Library of Medicine (NNLM). RMLs coordinate a network of libraries and organizations to provide U. S.
NLM Institutional Grants for Research Training in Biomedical Informatics, Data Science, and AI (RFA-LM-26-004) is sponsored by National Library of Medicine (NLM), National Institutes of Health (NIH). This program invites applications for innovative predoctoral and postdoctoral training programs that prepare the next generation of researchers in biomedical informatics, data science, and artificial intelligence/machine learning (AI/ML).
PAR-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.
Read articlePAR-28-027 was forecast on September 24, 2026: four awards, an $80,000 ceiling, a $10,000 floor, and a May 25, 2027 estimated deadline. The program's audience language changed between the expired PAR and the forecast, and the whole thing is a 19-month pipeline from forecast to first dollar.
Read articleThe 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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