1,000+ Opportunities
Find the right grant
Search federal, foundation, and corporate grants with AI — or browse by agency, topic, and state.
Joint NSF/NIH Smart Health and Biomedical Research in the Era of Artificial Intelligence (SCH) Program is sponsored by National Science Foundation (NSF) and National Institutes of Health (NIH). This interagency program supports transformative, high-risk/high-reward advances in AI and advanced data science for biomedical and public health research.
It funds interdisciplinary teams developing novel methods to collect, analyze, and interpret health data using AI.
Get a weekly digest of new grants like this
A free weekly digest of new foundation and federal funding opportunities as they're added to Granted. Unsubscribe anytime.
Or search similar grants →Extracted from the official opportunity page/RFP to help you evaluate fit faster.
Smart Health and Biomedical Research in the Era of Artificial Intelligence and Advanced Data Science (SCH) | Data Science at NIH Smart Health and Biomedical Research in the Era of Artificial Intelligence and Advanced Data Science (SCH) This interagency program solicitation supports the development of 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.
Scientific and engineering innovations by interdisciplinary teams develop novel methods to collect, sense, connect, analyze, and interpret data from individuals, devices, and systems, enabling discovery and optimizing health. Solutions to these complex biomedical or public health challenges requires teams that are ready to address these issues, while advancing fundamental science and engineering.
Please watch the Smart and Connected Health presentation from ISMB 2022 , which will give insight into how to prepare a successful application. Review full program guidelines and learn how to submit a proposal in the latest solicitation.
Read the NSF Solicitation 21-530 Read the NIH Notice NOT-OD-21-011 Smart Health Workshop 2022, October 6-7, 2022 PI workshop, November 18, 2022 University of California San Diego SCH: Multimodal Retina Image Alignment and Applications Oklahoma State University SCH: Harnessing Tensor Information to Improve EHR Data Quality for Accurate Data-driven Screening of Diabetic Retinopathy with Routine Lab Results University of California, Davis SCH: Smart EHR Data Analytics to Enhance Cancer Care Multiteam Systems North Carolina State University SCH: A personalized wearable rehabilitation sensing system for stroke survivors SCH: Smart Auscultation for Pulmonary Diagnostics and Imaging University of California, Davis SCH: Heterogenous, dynamic synthetic data: From algorithms to clinical applications SCH: Leverage clinical knowledge to augment deep learning analysis of breast images The University of Texas Health Science Center at Houston (UTHealth Houston) SCH: Neurophysiological AI-Ready Data Resource University of Southern California SCH: Wearables for Health and Disease Knowledge (W4H) SCH: Enabling Data Outsourcing and Sharing for AI-powered Parkinsons Research Illinois Institute of Technology SCH: Multidimensional Microfluidic Salivary Sensor with Adversarial Knowledge Distillation for Point-of-Care Assessment of Periodontitis and Comorbidities The University of Tennessee, Knoxville SCH: Robotic Caregiver to Comprehend, Assist, Relieve, and Evaluate for Patients with Alzheimer’s Disease (Robotic CARE for AD) The Pennsylvania State University SCH: AI-Enhanced Multimodal Sensor-on-a-chip for Alzheimers Disease Detection The University of Texas at Austin SCH: Digital Biomarker and Analytics for Cognitive Impairment with Mobile and Wearable Sensing SCH: Assessment of Cognitive Decline using Multimodal Neuroimaging with Embedded Artificial Intelligence SCH: Smart User-Effective Data-Enabled (SUEDE) Shoe for Ankle Injury Prevention Mayo Clinic in Rochester, Minnesota SCH: Wearable Augmented Prediction of Burnout in Nurses: A Synergy of Engineering, Bioethics, Nursing Awards made prior to FY21 can be found in the NIH RePORTER .
This page last reviewed on This page last reviewed on May 2, 2022
According to the current listing, eligibility includes: Interdisciplinary teams of researchers from academic institutions and other eligible organizations. Confirm the full requirements in the official notice before applying.
Joint NSF/NIH Smart Health and Biomedical Research in the Era of Artificial Intelligence (SCH) Program 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.
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.
NSF 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 joint NSF-NIH program supports innovative, high-risk/high-reward research at the intersection of artificial intelligence, data science, and biomedical or public health applications.
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.
MGPV Travel Grant is sponsored by Geological Society of America (GSA), Mineralogy, Geochemistry, Petrology, Volcanology Division. MGPV Travel grants support student travel to the annual GSA meeting. Applications are restricted to active graduate or undergraduate students who are the presenting authors of an accepted abstract at the annual GSA meeting.
Research Opportunities in Space and Earth Science (ROSES) - 2025: A.4 Rapid Response and Novel Research in Earth Science is sponsored by National Aeronautics and Space Administration (NASA) Science Mission Directorate (SMD). This omnibus research funding opportunity includes various program elements, with rolling submissions for Earth Science research through August 2026. Proposers to Earth Science using the NASA Center for Climate Simulation high-end computing facility must include specific budget details.
New NIH awards have fallen 34% in 2026, NSF is running months behind, and a proposed OMB rule would let political appointees terminate grants mid-stream. The funding environment for academic research has structurally changed. Here is a clear-eyed diversification strategy for PIs, research offices, and institutions that cannot wait for the political fight to resolve.
Read articleOMB's proposed rewrite of 2 CFR Part 200 would bar political appointees from deferring to peer reviewers and require senior-appointee sign-off on every discretionary grant. NIH new awards are already down about 34% in 2026. Here is what the merit-review changes actually say, how 'Gold Standard Science' becomes a scoring lever, why R1 universities are being written out of some solicitations, and what principal investigators and research offices should do before October 1.
Read articleOPM's March 2026 rule strips civil service protections from positions deemed policy-influencing — including potentially thousands of grant reviewers and program officers across NSF, NIH, and the Department of Defense. Here's how grant seekers should adapt.
Read article