Updated September 24, 2026
AI in Healthcare Research Grants
Open grants for AI and machine learning research in medicine, clinical care, and biomedical science, from NIH and NSF to disease foundations. Updated daily.
Health and medicine are where AI research funding and biomedical funding meet, and in 2026 that intersection is one of the better-funded places to be. NIH is running dedicated programs to move AI models from the lab into clinical use, the National Library of Medicine continues to fund training in biomedical informatics and data science, and NSF supports work at the boundary of biology and machine learning. Disease-focused funders, from cancer research organizations to professional societies, have added AI-specific calls of their own.
Featured grants
Updated automatically from Atom's grant databaseAdvancing Research at the intersection of Biology and Artificial Intelligence/Machine Learning (AI/ML)
NSF BIO supports research combining biology and AI/ML to advance biological discovery or develop AI/ML methods inspired by biological systems, encouraging interdisciplinary collaboration.
NLM Institutional Grants for Research Training in Biomedical Informatics, Data Science, and AI
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.
PRIMED-AI: Translating Models to Clinic (UG3/UH3 Clinical Trial Optional)
This NIH grant will fund development and clinical testing of AI tools that combine imaging and other health data to improve personalized care for chronic and other conditions.
The range of fundable work is wide. Programs support clinical decision support, medical imaging, precision medicine, biomarker discovery, and multimodal models that combine records, images, and genomics, alongside the data infrastructure, validation, and fairness research needed to deploy them safely. Clinicians partnering with computational researchers, and machine learning labs looking for a health application, are both well positioned.
This collection gathers open grants for AI and machine learning research in healthcare and biomedical science across federal, foundation, and society funders. It updates as new opportunities post and deadlines pass. Many of these programs favor interdisciplinary teams, so check each listing's eligibility and partnership requirements before you start building an application.
PRIMED-AI: Academic-Industrial Partnerships (UG3/UH3 Clinical Trial Optional)
This upcoming NIH grant supports academic-industrial partnerships to develop and test AI tools that integrate medical imaging with other health data to improve personalized care for chronic and other conditions.
AI-human collaborations in cancer
This grant funds global teams to develop advanced AI agents that work with human researchers to generate and test new cancer research hypotheses, transforming how cancer is studied.
Mathematical Foundations of Artificial Intelligence
This grant aims to address foundational gaps in AI through interdisciplinary research on mathematical and theoretical foundations for sustainable, trustworthy, and socially responsible AI.
Artificial Intelligence in Communication Sciences and Disorders Research Grant
Supports interdisciplinary research integrating ethical and innovative AI solutions to advance clinical practice, education, and research in communication sciences and disorders.
Postdoctoral Research Fellowships in Biology
This fellowship funds recent PhDs to conduct research and training at the intersection of AI and biology, aiming to advance biotechnology innovation and develop future leaders in the field.
ISHLT Molecular Biomarker Study Using Artificial Intelligence/Machine Learning Analysis in Lung Transplantation Grant
This grant funds research using AI and molecular biomarkers to develop non-invasive diagnostics and improve outcomes for lung transplant patients.
Artificial Intelligence in Materials Science
This IPAM program advances AI-driven materials science by integrating machine learning with physical laws, simulation, and autonomous experimentation for scientific discovery.
Multimodal AI to Accelerate Precision Medicine for Type 1 Diabetes (U01- Clinical Trials Not Allowed)
This grant funds the development of advanced AI tools to integrate diverse datasets and accelerate precision medicine research for understanding, preventing, and treating Type 1 diabetes.
PRIMED-AI: Multi-use Framework Playbooks (UG3 Clinical Trial Not Allowed)
NIH will soon fund projects creating frameworks and best practices for developing and managing AI tools that integrate clinical imaging with other health data to improve personalized medicine.
Personal Health Informatics for Delivering Actionable Insights to Individuals (R01 Clinical Trial Optional)
Research grant to develop innovative personal health informatics tools delivering actionable insights for individuals to understand and improve their health.
Medical Informatics Career Development Grant
The Medical Informatics Career Development Grant from the Medical Library Association supports health sciences librarians in advancing research and expertise in medical informatics.
PRIMED-AI: Validation Center (U54 Clinical Trial Not Allowed)
This grant will fund a center to independently validate and assess AI-powered clinical decision support tools that combine imaging and other health data to improve personalized medicine.
Kidney Artificial Intelligence Discovery Challenge: From Nebulae to Nephrons
NIH Challenges invites AI-driven research to uncover novel patterns in kidney tissue and multi-omics data, advancing understanding of kidney disease through the Kidney Artificial Intelligence Discovery Challenge.
Computational Approaches to Curation at Scale for Biomedical Research Assets (R01 Clinical Trial Not Allowed)
Grant funds computational methods to enhance curation processes for biomedical data, facilitating rapid access to datasets for transformative research.
PRIMED-AI: Logistics Center (U24 Clinical Trial Not Allowed)
This grant will fund a Logistics Center to manage administration, evaluation, and outreach for a consortium developing AI tools that integrate imaging and health data to advance precision medicine.
Artificial Intelligence in Higher Education
Lilly Endowment's AIHE initiative funds Indiana colleges to research, plan, and implement strategies addressing artificial intelligence's impact on higher education, student outcomes, and workforce readiness.
Advance Whole-Person Data Integration and Reimagine Data Science Computations and Analytics to Address Chronic Disease Disparity Grand Challenge
NIH Challenges' Grand Challenge seeks innovative, AI-ready data integration and analytics solutions to advance whole-person chronic disease disparities research.
Frequently asked questions
NIH funds much of this work, including programs that move AI models into clinical use and the National Library of Medicine's biomedical informatics and data science programs. NSF supports AI at the intersection with biology, and disease foundations and professional societies run AI-specific calls.
Many do, or strongly prefer one. Programs that aim for clinical use often expect teams that combine machine learning expertise with clinical or biomedical investigators and access to real-world data.
Common areas include medical imaging, clinical decision support, precision medicine, biomarker discovery, multimodal models that combine records and imaging, and research on the validation, fairness, and safe deployment of clinical AI.
Yes, particularly as part of an interdisciplinary team. Several programs and training grants are designed to bring computational researchers into biomedical problems.