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The Smart Health and Biomedical Research in the Era of Artificial Intelligence and Advanced Data Science (SCH) program is a joint NSF-NIH solicitation (NSF 25-542) supporting high-risk, high-reward advances in AI, machine learning, and data science for fundamental biomedical and public health research.
Projects must cross disciplinary boundaries, pairing computer and data scientists with clinicians, public health researchers, or biomedical experts. Priority areas include AI-driven diagnostics, clinical decision support, sensing and imaging, and trustworthy health AI. Awards reach up to $1.
2 million (with some larger multi-year projects), and NSF invests $15-20 million per cycle.
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Or search similar grants →According to the current listing, eligibility includes: U.S. institutions of higher education and eligible nonprofit research organizations; proposals must include interdisciplinary teams bridging computing/data science and biomedical or public health domains. Confirm the full requirements in the official notice before applying.
The current listing shows awards up to $1,200,000 in total (up to $300,000 per year for up to 4 years); some larger projects range to $2,000,000 over 5 years. NSF expects to invest $15-20 million per cycle across roughly 10-16 awards. Verify award ceilings, matching requirements, and allowable costs in the official notice.
NSF Smart Health and Biomedical Research in the Era of Artificial Intelligence and Advanced Data Science (SCH) NSF 25-542 is funded by National Science Foundation (NSF) and National Institutes of Health (NIH). 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.
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