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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). This joint NSF/NIH program supports high-risk, high-reward interdisciplinary projects that utilize artificial intelligence, advanced data science, and engineering to solve pressing challenges in healthcare and public health.
Projects must cross disciplinary boundaries, with teams pairing computer scientists with clinicians or public health researchers being an explicit target.
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Search similar grants →Key questions and narrative sections extracted from the solicitation.
Project Summary (1 page): Overview, Intellectual Merit, and Broader Impacts
Project Description (15-page limit): Must demonstrate fundamental contributions to two or more disciplines and address key biomedical or public health problems; must include an Evaluation Plan describing how success will be assessed
Collaboration Plan (2-page max): Describe interdisciplinary team collaboration and domain expertise
Scoring criteria used to review proposals for this grant.
Based on current listing details, eligibility includes: Interdisciplinary teams from eligible institutions and organizations. Applicants should confirm final requirements in the official notice before submission.
Current published award information indicates Up to $1.2 million per project over four years ($300,000 annually) 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
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 program supports high-risk, high-reward projects that utilize artificial intelligence (AI), advanced data science, and engineering to solve pressing challenges in biomedical research and public health. It encourages interdisciplinary collaboration to develop novel methods for collecting, analyzing, and interpreting data to improve health outcomes and optimize healthcare delivery.
Smart Health and Biomedical Research in the Era of Artificial Intelligence and Advanced Data Science (SCH) (NSF 25-542) 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 encourages scientific and engineering innovations by interdisciplinary teams that develop novel methods to intuitively and intelligently collect, sense, connect, analyze and interpret data from individuals, devices and systems to enable discovery and optimize health, leveraging advances in AI/ML and high-performance computing.
NBNA Scholarship Program is a grant from National Black Nurses Association (NBNA) providing scholarships starting at $1,000 to nursing students at all levels, from LPN to Doctorate. Open to active NBNA members currently enrolled in accredited nursing programs with at least one year of schooling remaining. Over 32 scholarships totaling more than $68,000 were awarded in 2020, and over $150,000 has been distributed to PhD candidates to date. Awards are presented annually at the NBNA Institute and Conference. The 2025-2026 program cycle is currently open. Applicants must be members of a local NBNA chapter.
Innovative Research in Cancer Nanotechnology (IRCN; R01 Clinical Trial Not Allowed) is sponsored by National Cancer Institute (NCI). This NOFO encourages applications promoting transformative discoveries in cancer biology and/or oncology through the use of nanotechnology. It specifically mentions the integration of modeling and simulation approaches to guide rational nanomaterial design and the use of artificial intelligence (AI) and modeling to aid rational drug design. This directly relates to personalized medicine and cancer treatment, though the primary focus is nanotechnology.