Closed · 24-561 · CFDA 47.049;47.070;93.310 · Discretionary

Foundations for Digital Twins as Catalyzers of Biomedical Technological Innovation

Federal grant opportunity posted by U.S. National Science Foundation, cataloged on Grants.gov.

Varies
Award range
Closed
Status
May 4, 2026
Close date
10
Expected awards

The verdict

Foundations for Digital Twins as Catalyzers of Biomedical Technological Innovation is a closed discretionary listing from U.S. National Science Foundation that offered Varies by applicant across 10 expected awards. Future funding cycles may be published under the same CFDA number. PlainGrants indexes 1,338 other opportunities from U.S. National Science Foundation.

Varies
award range
Closed
application status
10
expected awards
47.049;47.070;93.310
CFDA program

Recently closed NOFO

This listing closed on May 4, 2026. CFDA 47.049;47.070;93.310 may re-announce under a new opportunity number. Historical award band was Varies by applicant.

According to Grants.gov (extract vintage 2026-08-10), this record reflects the officially published listing. See methodology.

Deadline tracker

Application window closed

Closed May 4, 2026

Posted Mar 23 Closes May 4

Est. Total Funding

$5,000,000

Expected Awards

10

Instrument

Grant

Description

The Foundations for Digital Twins as Catalyzers of Biomedical Technological Innovation (FDT-BioTech) 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 the relevance of the developed models in addressing current and emerging challenges affecting the development and assessment of biomedical technologies. The goal of the FDT-BioTech initiative is to catalyze biomedical technological innovation through new foundational development of methods and algorithms relevant to digital twins and synthetic humans.

Catch-all / unrestricted eligibility mark · 24-561

Grants.gov marks Foundations for Digital Twins as Catalyzers o… with a catch-all / unrestricted eligibility code (Others (see official listing text)). Read the official announcement text for the real applicant filter — the code alone is not a door list. The extract does not mark applicant cost-sharing as required. Instrument: Grant. Funding-activity code maps to Science and Technology / R&D (ST). This eligibility-code string dominates the U.S. National Science Foundation book (722 peers, 54% of 1,339).

Code 25
Others (see official listing text)

Codes are Grants.gov eligibility category values from the extract vintage 2026-08-10. Confirm the full eligibility statement on the official listing or the Grants.gov eligibility reference.

Official Listing on Grants.gov

View full details, application forms, and submission instructions.

View on Grants.gov

Agency Contact

NSF grants.gov support grantsgovsupport@nsf.gov

What to do next

Foundations for Digital Twins as Catalyzers o… is closed; use the parent program and agency catalog for the next funding cycle.

  • Browse open federal opportunities in the same category when this listing is closed. Open opportunities
  • Look up CFDA 47.049;47.070;93.310 across all indexed listings before you commit to this opportunity alone. Eligibility finder
  • Compare award ranges across federal categories before you pick a single CFDA. All categories

Opportunity deadlines and eligibility change on Grants.gov; PlainGrants mirrors the extract and is not the submission system.

Disclaimer: This information is sourced from Grants.gov and SAM.gov and is for informational purposes only. Opportunity details, deadlines, and eligibility requirements change frequently. Always verify current information directly on Grants.gov before applying. PlainGrants is not affiliated with any federal agency.

Data sourced from the SAM.gov Assistance Listings and Grants.gov. See our methodology for details. Retrieved and formatted by PlainGrants