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AI & Health Safety Grant is sponsored by Wellcome Trust. This grant supports research on the safe and responsible application of AI in health and biomedical sciences. It focuses on areas like algorithmic bias, privacy-preserving health analytics, and robust validation of clinical AI systems, bridging AI safety research with real-world healthcare deployment challenges.
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Search similar grants →Based on current listing details, eligibility includes: Health research institutions and international collaborators. Applicants should confirm final requirements in the official notice before submission.
Current published award information indicates Varies 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.
Past winners and funding trends for this program
Wellcome Genomics in Context Awards is a grant from the Wellcome Trust that funds research integrating genomic data with clinical, environmental, and social context to improve understanding of health and disease. The program supports projects that go beyond generating sequence data to investigate how genomic variation interacts with lived experience, exposures, and biological systems. Eligible applicants include researchers at universities and research institutions globally, with preference for international collaborations. Awards fund multidisciplinary teams combining genomics, epidemiology, social science, and clinical research to generate actionable health insights.
The Evidence for AI in Health (EVAH) initiative is a $60 million joint investment by the Gates Foundation, Novo Nordisk Foundation, and Wellcome Trust to support rigorous, country-led evaluations of AI health tools in low- and middle-income countries. Delivered in partnership with J-PAL and the African Population and Health Research Center, EVAH funds evaluations of AI-enabled clinical decision support tools in primary and community healthcare settings across Sub-Saharan Africa, South Asia, and Southeast Asia. Pathway A supports early-deployment evaluations focusing on usability, workflow integration, and safety for up to $1 million. Pathway B funds randomized controlled trials, economic analyses, and implementation science studies of tools ready for deployment at scale for up to $3 million. The initiative addresses a critical evidence gap about whether AI diagnostic and clinical decision support tools actually improve health outcomes in resource-limited settings.