Foundations for Digital Twins as Catalyzers of Biomedical Technological Innovation

Key Facts

Status: Forecasted

Posted date: March 23, 2024

Archive date: June 3, 2026

Close date: May 4, 2026

Opportunity ID: 353135

Opportunity number: 24-561

Opportunity category: Discretionary

Agency name: U.S. National Science Foundation

Agency code: NSF

Award floor: $0

Award ceiling: $0

Cost sharing required: No

Funding Instrument Types
  • Grant
Category of Funding Activity
  • Science and Technology and other Research and Development
Eligible Applicants
  • Others
Tools
Categories (use these for quoted searches)
  • agency_code:nsf
  • category_of_funding_activity:science_and_technology_and_other_research_and_development
  • cost_sharing_or_matching_requirement:false
  • eligible_applicants:others
  • funding_instrument_type:grant
  • opportunity_category:discretionary
  • status:forecasted
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.

Foundations for Digital Twins as Catalyzers of Biomedical Technological Innovation
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.
[Forecasted] Foundations for Digital Twins as Catalyzers of Biomedical Technological Innovation
Forecasted
U.S. National Science Foundation
Science and Technology and other Research and Development
Grant
Others
2024-03-23