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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.
Smart Health and Biomedical Research in the Era of Artificial Intelligence and Advanced Data Science (SCH) is sponsored by National Science Foundation (NSF) and National Institutes of Health (NIH). This interagency program supports transformative, high-risk, high-reward advances in computer and information science, engineering, mathematics, statistics, behavioral, and/or cognitive research to address pressing questions in the biomedical and public health communities. It emphasizes interdisciplinary teams developing novel methods to collect, sense, connect, analyze, and interpret data from individuals, devices, and systems to enable discovery and optimize health. The program seeks fundamental contributions to at least two scientific or engineering disciplines while tackling key health problems.
NSF/NIH Smart Health and Biomedical Research in the Era of AI and Advanced Data Science (SCH) is sponsored by National Science Foundation (NSF) and National Institutes of Health (NIH). Joint NSF/NIH interagency program (NSF 25-542) supporting transformative, high-risk/high-reward advances in AI and advanced data science for biomedical and public health research.
Joint NSF/NIH interagency program (NSF 25-542) supporting transformative, high-risk/high-reward advances in AI and advanced data science for biomedical and public health research. Funds interdisciplinary teams developing novel methods to collect, sense, connect, analyze, and interpret health data from individuals, devices, and systems. Six priority themes: fairness and trustworthiness in health AI systems, transformative analytics using AI/ML for biomedical research, multimodal wearable and implantable biomarker sensing systems, cyber-physical systems for closed-loop health interventions, robotics for health outcomes, and biomedical image interpretation combining human perception with computational analysis. All proposals require a mandatory Collaboration Plan demonstrating cross-disciplinary integration.
The Department of Defense FY2026 Defense University Research Instrumentation Program (DURIP) provides funding for U.S. universities to acquire research equipment and instrumentation in areas important to national defense, including AI and machine learning hardware. The program is administered jointly by the Army Research Office (ARO), Office of Naval Research (ONR), and Air Force Office of Scientific Research (AFOSR), with approximately $34 million available and 95 awards anticipated. DURIP funds the acquisition of specialized computing hardware for AI/ML research (GPU clusters, TPUs, neuromorphic processors), robotics and autonomous systems testbeds, sensor arrays and data collection systems for machine learning training, high-performance computing infrastructure for defense-relevant AI research, and laboratory equipment for human-AI interaction studies. The program specifically supports equipment that enhances research-related education in DoD-priority disciplines. While general-purpose computing is not eligible, computing equipment directly supporting DoD-relevant AI research programs qualifies. No cost sharing is required.
Vinnova, Sweden's national innovation agency, funds projects developing applied AI solutions for Swedish industry through its Advanced Digitalization Programme. Each project can apply for between 2 and 10 million SEK (approximately $190,000 to $950,000 USD) covering up to 50% of eligible project costs. The total call budget is 60 million SEK. Projects run for 12-24 months and focus on two key areas: Intelligent Edge (AI for real-time application in the sensor chain) and AI-based decision support. All projects must address industrial needs and integrate gender equality and climate change perspectives. Scientific publications must be open access. A parallel call also funds AI and cybersecurity projects at 1-10 million SEK per project with a 50 million SEK total budget.
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Read articleThe joint NSF-NIH Smart Health and Biomedical Research solicitation supports high-risk, high-reward AI/data science work in health — $300K per year for four years, with 20+ NIH institutes participating. Here is how the program actually selects winners.
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