NIH AI Grants

AI in Education Research Grants is sponsored by National Institutes of Health (NIH). This program funds research exploring the use of artificial intelligence to enhance educational outcomes in health-related fields. While broadly focused on health, proposals that integrate AI software subscriptions for K-12 in a health education context could be relevant.

D2M-AIP is the discovery-end component of PRIMED-AI, the NIH Common Fund's new Precision Medicine with AI: Integrating Imaging with Multimodal Data program, which the NIH Council of Councils approved as a Common Fund program on April 21, 2025 and which launched five coordinated funding opportunities in 2026. The specific target here is AI-enabled, image-centered, multimodal clinical decision support tools - systems that fuse clinical imaging with other health data streams such as genomics, pathology, laboratory values and electronic health records - developed explicitly as Software as a Medical Device. Two features distinguish this announcement from ordinary NIH AI funding. First, the academic-industrial partnership requirement is structural rather than decorative: projects are meant to be pre-competitive collaborations positioned for eventual commercialization, so a purely academic team without an industry partner is unlikely to be competitive. Second, the phased UG3/UH3 mechanism means the award is gated - the UG3 phase (up to $450,000 direct costs per year) funds development against defined milestones, and transition to the UH3 phase (up to $800,000 direct costs per year) depends on meeting them. Applicants should write the milestone plan as a first-class part of the proposal rather than an afterthought. The emphasis on novel data integration and new AI model development means incremental applications of existing architectures to a new dataset will read poorly; reviewers are looking for methodological advance paired with a credible regulatory and deployment path. Eligibility is broad, including foreign organizations, which is unusual among the five PRIMED-AI announcements - the Validation Center, Logistics Center and Playbook opportunities all exclude foreign entities. Teams whose tool is already a validated prototype rather than a concept should look instead at the companion Model-to-Clinic announcement, RFA-RM-27-013, which shares this deadline.

Bridge2AI Stage 2 advances NIH's flagship biomedical AI initiative from creating ethically sourced, machine-learning-ready datasets to delivering deployable AI tools for specific health challenges. Stage 2 funds Innovation Funnels that use the Stage 1 AI-ready datasets (voice biomarkers, clinical cardiology, salutogenesis, AI/ML for precision public health) to build diagnostic algorithms, drug discovery platforms, and clinical decision support systems. It also establishes a Network for AI Health Science to develop safety protocols, responsible AI implementation guidance, and ethics frameworks for biomedical AI. Strong emphasis on FAIR data principles, transparent model documentation, equity, and public trust.

Artificial Intelligence and Technology Collaboratories (AITC) for Aging Research Program - Pilot Awards (a2 Pilot Awards) is sponsored by National Institute on Aging (NIA), National Institutes of Health (NIH). The a2 Pilot Awards competition, funded by the NIA through the AITC for Aging Research program, earmarks $40 million to fund promising AI-driven AgeTech projects.

Bridge2AI Stage 2 for AI-Ready Health Datasets, Innovation Funnels, and AI Health Science Network is sponsored by National Institutes of Health (NIH) Common Fund. This program aims to accelerate the use of AI in biomedical and behavioral research by generating ethically sourced, machine-learning-ready biomedical datasets and the tools to use them.

AI/ML Consortium to Advance Health Equity and Researcher Diversity (AIM-AHEAD) is sponsored by National Institutes of Health (NIH). This program establishes partnerships to increase the participation of underrepresented researchers in AI/ML development and enhance AI capabilities for addressing health disparities. It funds small-scale research projects co-led by community-based organizations and academic institutions using community-based participatory research approaches.

Artificial Intelligence and Technology Collaboratories (AITC) for Aging Research Program - Pilot Awards is sponsored by National Institute on Aging (NIA), National Institutes of Health (NIH). The AITC program supports pilot projects that leverage advancements in artificial intelligence and related technologies to improve care, health outcomes, and overall quality of life for older adults, including those living with Alzheimer's disease and related dementias (AD/ADRD)…

Artificial Intelligence and Technology Collaboratories (AITC) for Aging Research Pilot Awards is sponsored by National Institute on Aging (NIA), NIH. The NIA AITC program earmarks $40 million to fund promising AI technology pilot projects that seek to improve care and health outcomes for older Americans, including persons living with Alzheimer's disease and related dementias (AD/ADRD), and their caregivers.

Bridge to Artificial Intelligence (Bridge2AI) Program - Stage 2 Innovation Funnels and Network for AI Health Science is sponsored by NIH Common Fund. The Bridge to Artificial Intelligence (Bridge2AI) program aims to bridge the gap between biomedical and behavioral research and artificial intelligence. Stage 2 will focus on accelerating health-related research by creating reliable tools and resources specifically designed for AI systems in scientific research. It will support Innovation Funnels, creating tools, devices, and insights using AI-ready datasets, and a Network for AI Health Science, bringing together experts to develop safety measures and frameworks for responsible AI use.

Artificial Intelligence for Alzheimer's Disease (AI4AD2) is sponsored by National Institutes of Health (NIH). This renewed program focuses on advancing Alzheimer's research and treatment through AI. It aims to uncover new genetic and protein-related changes, link them to measurable changes in the brain and behavior, and ensure AI tools work well across global populations.

Bridge to Artificial Intelligence (Bridge2AI) Network for AI Health Science is sponsored by NIH Common Fund. The Bridge2AI program aims to accelerate the widespread use of artificial intelligence (AI) by the biomedical and behavioral research communities. Stage 2 of the program will create networks of multidisciplinary researchers to advance the science of AI science by developing necessary metrics and a framework for trustworthy, reproducible, and explainable AI-enabled biomedical and behavioral research.

The NIH Common Fund's Bridge to Artificial Intelligence (Bridge2AI) program accelerates the use of AI in biomedical and behavioral research by generating ethically sourced, AI-ready datasets and the tools to use them. On January 29, 2026, the NIH Council of Councils approved Bridge2AI to advance to Stage 2, with approximately $130 million over four years (pending appropriations). Stage 2 will fund Innovation Funnels that translate Bridge2AI's flagship datasets into validated clinical tools, and a Network for AI Health Science that develops safety, validation, and benchmarking protocols for health AI. Stage 2 RFAs had not yet been posted as of mid-2026 but are expected during 2026, with individual award amounts to be specified in those announcements.

AIM-AHEAD Program for Artificial Intelligence Readiness (PAIR) is sponsored by National Institutes of Health (NIH) Common Fund. The NIH's AIM-AHEAD (Artificial Intelligence/Machine Learning Consortium to Advance Health Equity and Researcher Diversity) program establishes mutually beneficial partnerships to empower researchers and communities in developing AI/ML models. It enhances capabilities using electronic health record data and other datasets to address health inconsistencies, and implements training opportunities in data science, large-scale data management, cloud computing, and AI/ML analytics.

Artificial Intelligence and Mental Health Research Program is sponsored by National Institutes of Health (NIH). This program supports research integrating artificial intelligence with mental health to enhance diagnosis, treatment, and understanding of mental health conditions. It encourages research projects that evaluate reliability and sensitivity, as well as projects that validate digital health and/or AI tools for use in research and clinical settings.

Bridge to Artificial Intelligence (Bridge2AI) Program - Stage II: Innovation Funnels and Network for AI Health Science is sponsored by NIH Common Fund. Building upon Stage 1's creation of AI-ready biomedical datasets, Stage II will support two initiatives: Innovation Funnels to create AI-enabled tools and insights to improve health, and a Network for AI Health Science to develop safety measures and a framework for responsible A…

Artificial Intelligence, Machine Learning, and Deep Learning (NIBIB) is sponsored by National Institute of Biomedical Imaging and Bioengineering (NIBIB), NIH. Supports mission-aligned projects focused on the development of transformative machine intelligence-based systems, emerging tools, and modern technologies for diagnosing and recommending treatments for a range of diseases and health conditions. This includes early-stage development of software, tools, and reusable convolutional neural networks.

Artificial Intelligence and Machine Learning Research is sponsored by National Institutes of Health (NIH). This program supports AI and machine learning research to advance biomedical and behavioral sciences. It focuses on the design and development of artificial intelligence, machine learning, and deep learning to enhance the analysis of complex medical images and data.

Bridge to Artificial Intelligence (Bridge2AI) Program - Stage 2 is an upcoming grant from the NIH Common Fund that will build upon Stage 1 accomplishments to use AI-ready biomedical datasets, tools, and best practices to address major biomedical and behavioral health challenges. Stage 1 committed $130 million over four years to generate flagship AI-ready datasets and workforce development resources, which are now available through the Bridge2AI portal. Stage 2 will support two initiatives: Innovation Funnels using AI-ready datasets to create tools and insights that improve health outcomes, and a Network for AI Health Science to develop safety measures for responsible AI use in research. Eligible applicants and award amounts for Stage 2 have not yet been published. The program was approved for a second stage as of January 2026.

AI/ML in Biomedical Research and Clinical Practice That Embodies Ethics and Equity is sponsored by National Institutes of Health (NIH) - Artificial Intelligence/Machine Learning Consortium to Advance Health Equity and Researcher Diversity (AIM-AHEAD) program. Part of the AIM-AHEAD program, this opportunity focuses on increasing the participation and engagement of researchers and communities currently underrepresented in AI/ML modeling and applications.

NIH Bridge to Artificial Intelligence (Bridge2AI) Program for Ethically Sourced Machine-Learning-Ready Biomedical Datasets and Tools is sponsored by National Institutes of Health (NIH) Common Fund. This program invests to generate flagship, ethically sourced, machine-learning-ready biomedical and behavioral datasets, along with the tools, standards, and skills needed to make AI/ML widely usable across biomedical research.

Bridge to Artificial Intelligence (Bridge2AI) Program is sponsored by National Institutes of Health (NIH) Common Fund. The Bridge2AI program will propel biomedical research forward by setting the stage for widespread adoption of artificial intelligence that tackles complex biomedical challenges beyond human intuition. It aims to build AI-ready biomedical datasets and ethical frameworks for their use, and will create tools, devices, and novel insights that use AI to improve health. The program also supports workforce development across different research communities.

NIH Common Fund Bridge2AI (Bridge to Artificial Intelligence) Program - Stage 2 is sponsored by National Institutes of Health (NIH) Common Fund. Bridge2AI is a flagship NIH program to build AI-ready biomedical datasets and ethical frameworks. Stage 2 shifts focus from dataset creation to delivering deployable tools for specific health challenges. Universities that built infrastructure under Stage 1 are well-positioned for continuations, but new applications aligning with AI-driven biomedical research, including imaging, could be relevant.

Bridge2AI, an NIH Common Fund program, invests roughly $130 million over four years to generate flagship, ethically sourced, machine-learning-ready biomedical and behavioral datasets, together with the tools, standards, and skills needed to make AI/ML widely usable across biomedical research. In January 2026 the NIH Council of Councils approved Bridge2AI's move into Stage 2, shifting from dataset creation toward delivering trusted, deployable AI tools for specific health challenges. Awards support large multi-institutional Grand Challenge data-generation projects and a cross-cutting integration, dissemination, and ethics center.

Bridge to Artificial Intelligence (Bridge2AI) is sponsored by NIH Common Fund. The Bridge2AI program aims to bridge the gap between biomedical and behavioral research and artificial intelligence. It supports generating tools, resources, and AI-ready data, as well as training materials and workforce development activities. While its core is biomedical, ethical considerations and societal impacts of AI are increasingly relevant across disciplines.

Bridge to Artificial Intelligence (Bridge2AI) Stage 2: Innovation Funnels and Network for AI Health Science is sponsored by NIH Common Fund. The Bridge2AI program aims to propel biomedical research by generating new AI-ready biomedical datasets and best practices for machine learning analysis. Stage 2 will build upon these accomplishments to use the generated data, tools, and best practices to deliver trusted solutions for major biomedical and behavioral health challenges through Innovation Funnels and a Network for AI Health Science.

Artificial Intelligence techniques for characterizing and minimizing the impact of errors, incompleteness, missingness, within health-related data sets (National Library of Medicine SBIR/STTR) is sponsored by National Library of Medicine (NLM) - NIH. The National Library of Medicine (NLM) offers support for research and development projects in biomedical informatics and data science. This includes Artificial Intelligence techniques for characterizing and minimizing data errors, incompleteness, and missingness within health-related datasets.

Bridge to Artificial Intelligence (Bridge2AI) Innovation Funnels is sponsored by NIH Common Fund. The Bridge2AI program aims to propel biomedical research by setting the stage for widespread adoption of AI. The Innovation Funnels initiative within this program will use AI-ready datasets to create tools, devices, and novel insights that use AI to improve health. The program also supports training materials, best practices, and activities for workforce development.

Bridge2AI is the NIH Common Fund's flagship program for making biomedical data usable by artificial intelligence, and on 29 January 2026 the NIH Council of Councils approved its advance to Stage 2 with approximately $130,000,000 over four years, pending appropriations. The strategic shift in Stage 2 is significant and worth understanding before applying: Stage 1 was about generating flagship AI-ready datasets across domains such as voice as a biomarker, salutogenesis, cellular maps, and critical care. Stage 2 moves downstream to building things with them. Two initiatives are named. Innovation Funnels will use AI-ready datasets, including those produced in Stage 1, to create tools, devices, and novel insights that apply AI to improve health - the channel for diagnostic algorithms, drug discovery platforms, and clinical decision support that can demonstrate measurable health impact. The Network for AI Health Science will assemble scientific experts to develop safety measures for responsible AI use and research, giving the program an explicit AI safety and governance component alongside its translational aims. As of writing, Stage 2 funding opportunity announcements had not been posted to the Bridge2AI funding page; based on the Stage 1 timeline, RFAs were anticipated around mid-2026. Prospective applicants should join the NIH Bridge2AI listserv and monitor commonfund.nih.gov/bridge2ai/funding, since Common Fund RFAs typically allow short preparation windows relative to their scale.

The AIM-AHEAD Consortium Development Program (CDP) Year 4 (FAIR-MED) is an NIH-funded opportunity supporting multidisciplinary teams to integrate trustworthy artificial intelligence and machine learning throughout the design, development, and implementation of research that improves health outcomes and reduces disparities in underserved communities. AIM-AHEAD anticipates supporting approximately eight Consortium Development projects, each with a budget cap of $800,000 total costs (up to $400,000 per year) over a 24-month period. The program builds AI/ML capacity at under-resourced institutions and with underrepresented communities as part of the broader $75 million AIM-AHEAD initiative.

Artificial Intelligence and Technology Collaboratories (AITC) Program (P30 Clinical Trial Optional) is sponsored by National Institute on Aging (NIA), National Institutes of Health (NIH). This program promotes the development and implementation of AI approaches and technology through research projects for aging and Alzheimer's Disease and related dementias (AD/ADRD) research. It aims to improve care and health outcomes for older Americans.

Artificial Intelligence and Technology Collaboratories (AITC) for Aging Research Program is sponsored by National Institute on Aging (NIA), National Institutes of Health (NIH). The AITC program promotes the development and implementation of AI approaches and technology through research projects and demonstration projects to improve care and health outcomes for older Americans, including persons with Alzheimer's disease and related dementias (AD/ADRD), …

Artificial Intelligence and Technology Collaboratories (AITC) for Aging Research Pilot Awards is sponsored by National Institute on Aging (NIA), National Institutes of Health (NIH). The AITC program, funded by NIA, provides non-dilutive R&D grant funding to promising technology demonstration projects at the intersection of AI, healthy aging, and Alzheimer's disease and related dementias (AD/ADRD).

Artificial Intelligence and Technology Collaboratories for Aging Research (AITC) is sponsored by National Institute on Aging (NIA), National Institutes of Health (NIH). The AITC program serves as a national resource to promote the development and implementation of artificial intelligence approaches and technology through demonstration projects to improve care and health outcomes for older Americans, including persons with dementia and their caregivers. This includes supporting pilot studies, developing and disseminating technical and policy guidelines, and fostering collaborations with private industry.

The NIH AIM-AHEAD (Artificial Intelligence/Machine Learning Consortium to Advance Health Equity and Researcher Diversity) program establishes partnerships to increase participation of underrepresented researchers in AI/ML development and enhance AI capabilities for addressing health disparities. The program funds small-scale research projects co-led by community-based organizations and academic institution researchers using community-based participatory research (CBPR) approaches. Projects advance AI/ML capacity building for communities across the US, enhance community stakeholder understanding of AI/ML methods, and build capacity for community engagement in AI/ML research. Hub-specific projects support multiple research hubs nationwide. The consortium is funded through NIH Agreement OT2OD032581 and operates through the Office of Data Science Strategy.