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Artificial intelligence in healthcare is one of the fastest-growing federal funding areas, with NIH investing over $2 billion annually in AI-adjacent biomedical research. The Bridge2AI program ($130 million) funds the creation of ethically sourced, machine-learning-ready biomedical datasets, while AIM-AHEAD ($75 million) focuses on building AI/ML capacity at under-resourced institutions and with underrepresented communities.
Beyond NIH, ARPA-H (Advanced Research Projects Agency for Health) funds high-risk AI-driven health technology development, and PCORI invests in AI-enabled comparative effectiveness research. The Gates Foundation and Chan Zuckerberg Initiative each deploy substantial funding for AI in global health diagnostics and disease modeling.
Key mechanisms include NIH R01s with AI-specific study sections, SBIR/STTR grants for health AI startups through both NIH and FDA, and NSF-NIH Smart Health and Biomedical Research in the Era of Artificial Intelligence (SCH) program. Proposals should clearly articulate clinical validation pathways, data governance, and plans for addressing algorithmic bias in healthcare applications.
NIH Bridge2AI ($130M)
Generating new ethically sourced, machine-learning-ready biomedical datasets with standards and tools for broad AI/ML use in health research.
Browse grants →NIH AIM-AHEAD ($75M)
Artificial Intelligence/Machine Learning Consortium to Advance Health Equity and Researcher Diversity. Building AI capacity at minority-serving institutions.
Browse grants →NSF-NIH SCH Program
Smart and Connected Health joint program funding AI, ML, and computing research applied to biomedical and health problems.
FDA Digital Health/AI
Grants and contracts for AI/ML-enabled medical devices, software as a medical device (SaMD), and regulatory science for AI in healthcare.
10 matching grants
University of Oxford Institute for Ethics in AI Accelerator Fellowship Programme is sponsored by University of Oxford Institute for Ethics in AI. Flexible, self‑directed research fellowship for individuals across sectors to develop ethical, policy‑relevant AI research under one of core themes (e. g. , AI and Mental Health, AI and Humanity)
NSF SBIR Phase I - Artificial Intelligence is sponsored by National Science Foundation. NSF SBIR funds high-risk AI innovation and R&D. A bike repair shop could only qualify if developing a novel AI technology for commercialization (e. g. , custom AI diagnostic tool for bike repairs), not for adopting existing AI tools.
NIH Bridge2AI Stage 2 represents the next phase of the NIH Common Fund Bridge to Artificial Intelligence program building on $130 million invested in Stage 1 to create ethically sourced AI-ready biomedical datasets. Stage 2 shifts focus from data generation to building tools devices and safety frameworks that translate those datasets into clinical and research applications. Two interconnected initiatives are funded: Innovation Funnels supporting teams that use Stage 1 AI-ready datasets to create practical tools including diagnostic algorithms drug discovery platforms and clinical decision support systems that demonstrate measurable health impact and a Network for AI Health Science developing safety measures validation protocols and responsible-use frameworks for AI in health research. The program values interdisciplinary teams combining computational scientists with domain experts in specific disease areas. Stage 2 Requests for Applications are expected by mid-2026. This is distinct from ARPA-H programs which fund specific high-risk clinical AI applications and from AHRQ healthcare AI safety grants which examine existing AI impact on healthcare systems.
Discovering the Future of AI Grant Program (AI + Health; AI + Science) is sponsored by University of Pennsylvania (Office of the Vice Provost For Research). This program provides faculty with resources to pursue paradigm-shifting research and education in AI and its applications, including revolutionizing healthcare through AI-driven diagnostics, personalized medicine, computational biology, and applying AI to accelerate discovery i…
SBIR (Small Business Innovation Research) and STTR (Small Business Technology Transfer) funding programs is sponsored by National Institutes of Health (NIH). NIH SBIR/STTR programs fund health AI startups, focusing on biomedical research. This includes grants for AI/ML-enabled medical devices, software as a medical device (SaMD), and regulatory science for AI in healthcare.
Discovering the Future of AI grants program is a grant from Penn AI (University of Pennsylvania) that provides faculty with up to $200,000 for one year to pursue paradigm-shifting research and education in artificial intelligence. The program fosters synergies between AI experts and domain experts across disciplines, encouraging proposals jointly led by two Co-Principal Investigators from different schools. Funding covers AI Foundations, AI and Business, AI and Education, AI and Health, AI and Science, and AI and Society. Support may fund novel AI models, unique datasets, graduate students, postdoctoral fellows, applied research, community partnerships, and educational programs. Proposals must be aligned with one or more of Penn AI's strategic research thrusts and identify audiences outside the academic community.
Innovation and Technology Grants is sponsored by All Seniors Foundation. All Seniors Foundation offers Innovation and Technology Grants for projects that leverage technology to improve the quality of life for seniors, such as telehealth services, digital literacy programs, and assistive devices. This aligns well with the focus on grief technology, bereavement mental health, AI, and digital companions for elderly care.
Discovering the Future of AI Grant Program is sponsored by University of Pennsylvania (PennAI). This program provides faculty with resources to pursue paradigm-shifting research and education in AI and its applications, fostering synergies between AI experts and domain experts. It encourages proposals aligned with PennAI's strategic research thrusts, including AI Foundations, AI + Business, AI + Education, AI + Health, AI + Science, and AI + Society. Specific examples of support include funding for novel AI models and experiments, unique datasets, and graduate student or postdoctoral fellow support for data analysis and model development.
AI for Public Health Initiative is sponsored by University of Arizona, Mel and Enid Zuckerman College of Public Health. This initiative seeks to build educational and research capacity in AI and Digital Epidemiology to train a new generation of public health professionals. Funds will support course development, pilot projects, and an endowed chair to lead efforts in using AI for public health challenges, including surveillance and rapid response to emerging threats.
GenScript Life Science Research Grant Program 2025 is sponsored by GenScript. This program provides comprehensive 'one-stop' solutions for projects in various life science fields, including gene and cell therapy development, antibody drug discovery, and AI drug discovery. Grants are awarded based on scientific merit, potential for impact, and strategic alignment with GenScript's primary areas of scientific interest.
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