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The Evidence for AI in Health (EVAH) Initiative is a US$60 million joint commitment from the Gates Foundation, Novo Nordisk Foundation, and Wellcome Trust to fund rigorous, locally led evaluations of AI-enabled clinical decision support tools (CDSTs) in low- and middle-income countries.
The initiative addresses a critical gap in evidence on how AI health tools perform in real-world primary and community health care settings in sub-Saharan Africa, South Asia, and Southeast Asia. Pathway A supports early-deployment evaluations examining usability, adoption, and implementation feasibility with awards up to $1 million.
Pathway B funds large-scale impact evaluations through randomized controlled trials, implementation science studies, economic analyses, and acceptability assessments with awards up to $3 million.
The initiative is implemented in partnership with the Abdul Latif Jameel Poverty Action Lab (J-PAL) and the African Population and Health Research Center (APHRC), who coordinate the application and review process and provide technical input on study design and evidence synthesis. The Spring 2026 RFP focused on AI tools using machine learning, computer vision, or large language models for triage, diagnosis, and referral functions.
Future RFP cycles are expected as the initiative deploys its $60 million commitment over multiple years.
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Search similar grants →Based on current listing details, eligibility includes: Open to researchers worldwide including those not affiliated with J-PAL. Eligible organizations include nonprofits, for-profits, international bodies, government agencies, academic institutions, and collaborative partnerships. Proposals should be led by institutions based in the regions of focus (sub-Saharan Africa, South Asia, Southeast Asia). Applicants must have access to an already-deployed or deployment-ready AI clinical decision support tool and capacity to conduct rigorous evaluations. Applicants should confirm final requirements in the official notice before submission.
Current published award information indicates Pathway A: up to $1,000,000 for early-deployment evaluations (3-12 months). Pathway B: up to $3,000,000 for large-scale impact evaluations (12-24 months). Total initiative commitment: US$60 million across all funders. Always verify allowable costs, matching requirements, and funding caps directly in the sponsor documentation.
The current target date is April 1, 2026. 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 Wellcome Trust Generative AI for Anxiety, Depression and Psychosis program funds fundamental research on using generative AI to improve the measurement or treatment of three major mental health conditions: anxiety disorders, depression, and psychotic disorders. Awards of up to £3 million support research teams of 2-8 members with expertise spanning mental health research, generative AI, AI ethics, and lived experience of mental health conditions. The program supports two main research directions: (1) creating or improving generative models specifically for mental health measurement and intervention, and (2) developing evidence on how humans, AI systems, and clinicians can collaborate safely and efficiently in mental health contexts. Notably, this program funds fundamental research only and explicitly excludes real-world deployment of AI tools. The program includes an accelerator stage where teams refine proposals before submitting full funded research applications. This represents one of the largest dedicated investments in AI for mental health research globally, reflecting Wellcome's strategic priority in understanding and treating mental health conditions.
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