Foundations for Digital Twins as Catalyzers of Biomedical Technological Innovation (FDT-BioTech)

The 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. The program focuses 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 is to catalyze biomedical technological innovation through new foundational development of methods and algorithms relevant to digital twins and synthetic humans. This interagency solicitation is a collaboration between NSF, NIH, and FDA. It supports innovative and transformative research to advance mathematical, statistical, and engineering approaches underpinning digital twins in biomedical and healthcare domains, enabling unique tools for innovative evaluation of novel emerging technology that can de-risk therapeutic, biologic, and medical device development and accelerate the introduction of safe and effective medical technologies for improved patient outcomes. Successful projects are anticipated to be collaborative in nature with at least two senior/key personnel, including participation from both the mathematical sciences and domain knowledge disciplines such as biomedical sciences or computer science with cyberinfrastructure development expertise.