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Two cycles/year; Cycle 1 deadline Jun 15 2026 (closed); Cycle 2 deadline Dec 15 2026.
The Biswas Family Foundation Fast Grants Program provides rapid funding for early-stage research projects at the intersection of artificial intelligence and health. Grants of $25,000, $50,000, and $100,000 support 12-month projects focused on biomedical AI, healthcare innovation, computational medicine, diagnostics, scientific discovery, and AI-enabled research tools.
The Foundation runs two Fast Grants funding cycles each year, emphasizing speed and support for promising early-stage and high-risk ideas.
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Or search similar grants →According to the current listing, eligibility includes: Researchers and teams pursuing early-stage projects at the intersection of AI and health, including biomedical AI, computational medicine, diagnostics, and AI-enabled research tools. Confirm the full requirements in the official notice before applying.
The current listing shows grants of $25,000, $50,000, or $100,000 for 12-month projects, with two funding cycles per year. Verify award ceilings, matching requirements, and allowable costs in the official notice.
Biswas Family Foundation Fast Grants Program for AI and Health Research is funded by Biswas Family Foundation. Verify program details on the funder's official page before applying.
Start from the official opportunity page linked in this listing — it carries the sponsor's submission instructions.
Fast Grants Program is sponsored by Biswas Family Foundation. Fast Grants provide lightweight, fast-turnaround funding for researchers exploring ideas at the intersection of AI and health, particularly for needs like compute, model-training credits, dataset access, or coding-agent tokens. Projects can align with themes like AI-driven diagnostics and prediction, or other AI/data-driven paths to health breakthroughs.
Fast Grants are lightweight, fast-turnaround gifts for researchers who want to explore an idea at the intersection of AI and health but lack the seed capital to try, and the programme is built around speed as its defining feature: roughly two weeks from deadline to decision. Cycle 1 of 2026 closed 15 June with decisions by 1 July; Cycle 2 closes 15 December 2026 at 11:59pm PT, with decisions around 1 January 2027 and funding approximately 1 February 2027. The foundation organises its interest around two pillars - AI-driven diagnostics and prediction, and personalised therapeutics and autonomous research - but the eligible project list is deliberately wide: training, fine-tuning or evaluating models on biomedical data; exploring or assembling datasets that could unlock new clinical or biological insight; building AI tools or agents that scale a scientist's leverage; and pilot experiments that de-risk a bigger funding ask. That last category is the strategic one. A Fast Grant is explicitly positioned as the preliminary-data vehicle for a subsequent NIH R01 or foundation application, and proposals that name the larger grant they are de-risking read well. The application itself is unusually short - seven bullet-pointed sections with character limits covering title, one-sentence summary, research question, methodology, team background, budget and intended outputs - so the effort-to-expected-value ratio is among the best available in biomedical AI funding.
Wellcome Discovery Awards provide long-term flexible funding for established researchers and teams pursuing bold, creative research that can deliver significant shifts in understanding of human life, health, and wellbeing. AI and computational approaches to biomedical challenges are explicitly welcome, including machine learning for drug discovery, AI-driven clinical diagnostics, computational genomics, and data science for health equity. The world's second largest private funder of medical research (endowment approximately £14.5 billion), Wellcome supports interdisciplinary teams tackling fundamental health questions using novel methodologies. Discovery Awards are discipline-agnostic and value transformative potential over incremental advances, making them ideal for ambitious AI-health intersection research.
Wellcome Discovery Awards provide long-term, flexible funding for established researchers and their teams pursuing bold, discovery-driven research to improve human life, health, and wellbeing. The scheme explicitly welcomes AI, machine learning, and computational approaches to biomedical challenges, including machine learning for drug discovery, AI-driven diagnostics, computational genomics, and data science for health. There is no fixed funding limit; the average award is around GBP 3.5 million (about USD 4.4 million) and applications above GBP 5 million (about USD 6.4 million) receive additional scrutiny, with awards typically lasting 3 to 8 years. The next round closes September 22, 2026.