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The Stanford AIMI-HAI Partnership Grants are a collaboration between the Stanford Center for Artificial Intelligence in Medicine and Imaging (AIMI) and the Stanford Institute for Human-Centered Artificial Intelligence (HAI). The program funds new, ambitious, and high-impact ideas that reimagine artificial intelligence in healthcare, using real clinical data sets with near-term clinical applications.
Research areas span AI-powered diagnostics, medical imaging analysis, clinical decision support, drug discovery, and personalized medicine. The AIMI center also offers separate Seed Grants for initial exploratory results, AWS Cloud Credit Grants for computational resources, and Trainee Travel Grants for students attending scientific conferences in AI, health, and medicine.
The partnership grants represent the largest and most competitive of these programs, supporting interdisciplinary research at the intersection of AI, medicine, and human-centered design.
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Search similar grants →Based on current listing details, eligibility includes: Primarily available to Stanford University-affiliated researchers, faculty, and trainees. Projects must use real clinical data and demonstrate potential for near-term clinical applications. Interdisciplinary teams spanning computer science, medicine, and related fields are encouraged. Applicants should confirm final requirements in the official notice before submission.
Current published award information indicates Funding amounts vary based on project scope and sponsor guidance. Always verify allowable costs, matching requirements, and funding caps directly in the sponsor documentation.
The current target date is rolling deadlines or periodic funding windows. Build your timeline backwards from this date to cover registrations, approvals, attachments, and final submission checks.
Federal grant success rates typically range from 10-30%, varying by agency and program. Build a strong proposal with clear objectives, measurable outcomes, and a well-justified budget to improve your chances.
Requirements vary by sponsor, but typically include a project narrative, budget justification, organizational capability statement, and key personnel CVs. Check the official notice for the complete list of required attachments.
Yes — AI tools like Granted can help research funders, draft proposal sections, and check compliance. However, always review and customize AI-generated content to reflect your organization's unique strengths and the specific requirements of the solicitation.
Review timelines vary by funder. Federal agencies typically take 3-6 months from submission to award notification. Foundation grants may be faster, often 1-3 months. Check the program's timeline in the official solicitation for specific dates.
Many federal programs offer multi-year funding or allow competitive renewals. Check the official solicitation for continuation and renewal policies. Non-competing continuation applications are common for multi-year awards.
The Kavli Foundation sponsors an AI-for-Science Postdoctoral Fellowship through FutureHouse's Independent Postdoctoral Fellowship program, supporting one fellow per cohort to pursue an independent, AI-enabled research project in neuroscience. The fellowship provides a $125,000 annual stipend plus comprehensive benefits, travel allowance for conferences, dedicated software engineering support for building AI research tools, access to advanced computational resources (GPU clusters and cloud computing), and wet lab access for experimental validation. Fellows work in collaboration with an advisor or co-advisor who is a member of a Kavli Institute, pursuing bold, curiosity-driven projects in neuroscience ranging from molecular and cellular mechanisms to systems-level understanding of the brain. The fellowship begins September 2026 and runs for one year with a possible one-year extension. Research areas include AI-driven analysis of brain imaging data, machine learning for neural circuit mapping, computational neuroscience models, AI tools for analyzing large-scale neural recordings, and deep learning applied to connectomics and brain-computer interfaces.
Healthy School Awards Program is sponsored by Blue Cross & Blue Shield Of Mississippi Foundation. Recognizes and rewards public K-12 schools in Mississippi that encourage healthy lifestyle behaviors and implement exemplary school health and wellness initiatives. Awards are given in categories based on school enrollment size, with one school designated as the Healthiest School in Mississippi. Geographic focus: Mississippi Focus areas: Healthy Eating, Physical Activity, Staff Wellness, Tobacco-Free Lifestyles