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The Foundations for Digital Twins as Catalyzers of Biomedical Technological Innovation (FDT-BioTech) program is a tri-agency initiative by NSF, NIH, and FDA supporting inherently interdisciplinary research that underpins the mathematical and engineering foundations behind the development and use of digital twins and synthetic data in biomedical and healthcare applications.
The program funds advances in mathematics, statistics, computational sciences, and engineering required to develop responsive digital twin models incorporating artificial intelligence capabilities. Research areas include in silico models for medical device evaluation, synthetic human generation, and emerging challenges in biomedical technology development and assessment.
Awards are up to $1,000,000 for collaborative projects from multiple organizations over 3 years, with the program issuing 6 to 10 awards per cycle. The next deadline is May 4, 2026, with annual cycles on the first Monday of May thereafter. This program specifically targets the foundational computational methods that make biomedical digital twins possible rather than application-specific implementations.
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Search similar grants →Based on current listing details, eligibility includes: Interdisciplinary research teams at institutions eligible to receive NSF funding. Each individual may serve as PI or co-PI on no more than one proposal. Collaborative projects from multiple organizations encouraged. Standard NSF eligibility requirements apply including U.S. academic institutions and nonprofits. Applicants should confirm final requirements in the official notice before submission.
Current published award information indicates Up to $1,000,000 per collaborative project over 3 years. Total program funding estimated at $4,000,000 to $5,000,000 per fiscal year. Approximately 6 to 10 awards expected. Always verify allowable costs, matching requirements, and funding caps directly in the sponsor documentation.
The current target date is May 4, 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.
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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.
NSF-NIH-FDA Foundations for Digital Twins as Catalyzers of Biomedical Technological Innovation is sponsored by National Science Foundation with NIH and FDA. The FDT-BioTech program is a joint NSF NIH and FDA initiative that catalyzes biomedical technological innovation through foundational development of methods and algorithms relevant to digital twins and synthetic humans.
The FDT-BioTech program is a joint NSF NIH and FDA initiative that catalyzes biomedical technological innovation through foundational development of methods and algorithms relevant to digital twins and synthetic humans. The program supports inherently interdisciplinary research projects that underpin the mathematical and engineering foundations behind the development and use of digital twins and synthetic data in biomedical and healthcare applications with a particular focus on digital in silico models used in the evaluation of medical devices and to advance regulatory sciences. Priority research areas include computational representations of physiological systems verification validation and uncertainty quantification transferability and generalizability across populations ethics security and privacy considerations and validation mechanisms for digital twin models. The program incorporates AI and machine learning as key enabling technologies for creating responsive digital twin models. All proposals must address regulatory science benefits and ethical implications. This program is distinct from the NSF SCH Smart Health program which focuses broadly on AI for health research and from ARPA-H programs which target specific clinical applications.
EPAs SmartWay Transport Partnership and National Clean Diesel Campaign (NCDC) are announcing the availability of funding assistance to create finance programs, such as low cost leases or revolving loan programs, to achieve significant reductions in diesel emissions throughout the United States. The SmartWay Clean Diesel Finance Program is soliciting proposals for projects that reduce diesel emissions through the creation of national, tribal, regional, state or local finance program(s). Finance programs include, but are not limited to, those that provide the loan recipient a specific financial incentive (i.e., longer terms or lower rates) to purchase or lease eligible retrofitted vehicles or equipment. The proposed finance program should maximize the total project funds available for financing eligible diesel emission reduction solutions and be sustainable to maintain the program. Funding Opportunity Number: EPA-OAR-OTAQ-09-13. Assistance Listing: 66.039. Funding Instrument: CA. Category: ENV. Award Amount: $2M – $12M per award.
The U. S. Environmental Protection Agency Region 2 is soliciting applications for projects that address the 2010 Reduce, Reuse, Recycle, Rebuy (4Rs) in Schools Program goals from applicants carrying out or desiring to carry out projects that serve EPA Region 2: New York, New Jersey, Puerto Rico, and Virgin Islands. Applicantsare required to be members of, or to join, EPAs WasteWise program in order to apply.See subsection E for more information. Funding Opportunity Number: EPA-R2-RPB-01-2010. Assistance Listing: 66.808. Funding Instrument: CA. Category: ENV. Award Amount: $60K total program funding.
The Healthy Communities Grant Program is seeking projects that: Target resources to benefit communities at risk (environmental justice areas of potential concern, places with high risk from toxic air pollution, urban areas) and sensitive populations (e.g. children, elderly, others at increased risk). Assess, understand, and reduce environmental and human health risks. Increase collaboration through community-based projects. Build institutional and community capacity to understand and solve environment and human health problems. Achieve measurable environmental and human health benefits. Proposed projects must: (1) Be located in and/or directly benefit one or more of the three Target Investment Areas which include: Environmental Justice Areas of Potential Concern, Sensitive Populations, and/or Urban Areas in one or more of the EPA Region I States of Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, and/or Vermont; and (2) Identify how the proposed project will achieve measurable environmental and/or public health results in one or more of the five Target Program Areas which include Asthma, Capacity Building on Environmental and Public Health Issues, Healthy Indoor/Outdoor Environments, Healthy Schools, Urban Natural Resources. Funding Opportunity Number: EPA-R1-HC-2010. Assistance Listing: 66.110. Funding Instrument: CA. Category: ENV. Award Amount: $5K – $35K per award.