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Resource-Related Research Projects for Development of Models and Related Materials for Studying Human Health and Diseases (R24 Clinical Trials Not Allowed) is sponsored by National Institutes of Health (NIH). This grant supports the development of broad-impact human health and disease models and resources for biomedical research, applicable across multiple NIH institutes.
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Opportunity Listing - Resource-Related Research Projects for Development of Models and Related Materials for Studying Human Health and Diseases (R24 Clinical Trials Not Allowed) Resource-Related Research Projects for Development of Models and Related Materials for Studying Human Health and Diseases (R24 Clinical Trials Not Allowed) Agency: National Institutes of Health Assistance Listings: 93.
351 -- Research Infrastructure Programs Last Updated: December 24, 2025 View version history on Grants.
gov The Office of Research Infrastructure Programs (ORIP) encourages grant applications aimed at developing, characterizing, or improving research models of human health and diseases; developing biology based new approach methodologies (NAMs) applicable to human health and diseases; or improving access to information about or generated from the use of models of human disease.
The models, including NAMs, and related biological materials developed must be broadly applicable to the scientific interests of two or more NIH Institutes or Centers (ICs) and must evaluate diseases and processes that impact multiple... organ systems in order to align with the ORIP"s NIH-wide mission and programs.
Applications must describe the need for and the potential impact of the proposed resources on the research community across a range of scientific disciplines supported by multiple NIH ICs. Applications to develop models that relate strictly to a specific disease or a select area of research or that do not have a broad impact on the NIH-wide research community will not be accepted.
Projects that predominantly address the research interests of one NIH IC but are only peripherally related to the research interests of other ICs will also not be accepted, if submitted in response to this notice of funding opportunity (NOFO).
City or township governments Federally recognized Native American tribal governments Nonprofits non-higher education without 501(c)(3) Nonprofits non-higher education with 501(c)(3) Private institutions of higher education Public and state institutions of higher education For-profit organizations other than small businesses Refer to Section III. Eligibility Information of the NOFO for additional information on eligibility.
Foreign Organizations/Foreign CollaborationsNon-domestic (non-U.S.) Entities (Foreign Organizations) are not eligible to apply. Non-domestic (non-U.S.) components of U.S. Organizations are not eligible to apply. Foreign components, as defined in the NIH Grants Policy Statement, are not allowed.
Grantor contact information Office of Research Infrastructure Programs (ORIP) File name Description Last updated RFA-OD-25-010-Full-Announcement. html RFA-OD-25-010-Full-Announcement. html Dec 5, 2025 06:50 PM UTC RFA-OD-25-010-Revised-Full-Announcement.
html RFA-OD-25-010-Revised-Full-Announcement. html Dec 24, 2025 03:16 PM UTC Link to additional information Closing: September 28, 2028 Funding opportunity number : Cost sharing or matching requirement : Funding instrument type : Opportunity Category Explanation : Category of Funding Activity :
Based on current listing details, eligibility includes: Open to a wide range of organizations involved in biomedical research. Applicants should refer to the specific FOA for full eligibility details. Applicants should confirm final requirements in the official notice before submission.
Current published award information indicates No Information Always verify allowable costs, matching requirements, and funding caps directly in the sponsor documentation.
The current target date is May 27, 2026. 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.
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Smart Health and Biomedical Research in the Era of Artificial Intelligence and Advanced Data Science (SCH) is sponsored by National Science Foundation (NSF) / National Institutes of Health (NIH). This interagency solicitation supports innovative, high-risk/high-reward research that uses convergent and interdisciplinary approaches from computer and information science, engineering, mathematical sciences, and biomedical, social, behavioral, and economic sciences to address challenges in biomedical and public health research. AI in interventional radiology fits well within this scope.
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 innovative, high-risk/high-reward research with the promise of disruptive transformations in biomedical and public health research. It focuses on interdisciplinary AI and data science for biomedical challenges, telehealth analytics, and remote monitoring. The work must make fundamental contributions to two or more disciplines, such as computer or information sciences, engineering, mathematical sciences, and the biomedical, social, behavioral, and economic sciences, addressing a key health problem.