Project Grant 2533946
- This National Science Foundation (NSF) Project Grant award under the Mathematical and Physical Sciences program (CFDA 47.049) provides $370,774 to the University of Houston System to develop an innovative framework for learning digital twins of human physiology. The goal is to create personalized, data-enabled digital models that can simulate glucose metabolism and help evaluate new treatments and technologies for type 1 diabetes management, without the risks of real-world trials. The research...
- This Federal Project Grant award, provided by the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049), supports the development of a first-principles informed, data-enabled predictive digital twin framework for human physiology. The $432,000 award to Arizona State University, a Hispanic-serving institution, will advance techniques for integrating real-world data into physics-based models to create personalized digital representations of human metabolic...
- This $1.2 million project grant from the National Science Foundation's Engineering program (CFDA 47.041) will fund research at Stanford University from September 2022 to August 2026 to develop digital tools and algorithms to improve diabetes care delivery and health equity. Specifically, the university will leverage sensor data and machine learning techniques to better understand patient types and needs, allocate limited provider resources efficiently, and design interpretable treatment...
- This Project Grant award, valued at $175,007, was provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070). The award supports the development of a new framework for digital twin modeling of Alzheimer's disease (AD), combining clinical data, biomedical research, and advanced computational methods to enable personalized medicine. The project aims to build a unified modeling framework for...
- This $644,524 Project Grant award from the National Science Foundation's (NSF) Integrative Activities (CFDA 47.083) program supports a collaborative research project between Howard University and North Carolina A&T State University. The project aims to identify the dynamic structure of the progression to type 2 diabetes (T2D) using mathematical models. Key activities include: Constructing a theoretical threshold to distinguish between diabetes and non-diabetes states, validated using...
- This $348,530 Project Grant award from the National Science Foundation's (NSF) Integrative Activities program (CFDA 47.083) supports a collaborative research project between Howard University and North Carolina A&T State University (NC A&T) to identify the dynamic structure of Type 2 diabetes progression. The project aims to develop mathematical models that can reveal the threshold behavior and personalized dynamics of diabetes onset, with the goal of informing new treatment methods. Key...
- This federal Project Grant award of $152,379.00, provided by the National Institute of Biomedical Imaging and Bioengineering (NIBIB) under the Discovery and Applied Research for Technological Innovations to Improve Human Health program (CFDA 93.286), aims to develop an AI-based framework that can identify digital biomarkers of glycemic control and patient-reported outcomes for personalized diabetes management. The goal is to leverage physiological signals, glucose management data, and...
- This $224,994 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program supports the development of a new framework for digital twin modeling of Alzheimer's disease (AD). The project aims to combine clinical data, biomedical research, and advanced computational methods to create personalized digital twins capable of predicting disease progression and evaluating treatment options for individual patients. The key products or...
- This $1,199,999 Project Grant award from the National Science Foundation's STEM Education program (CFDA 47.076) will support the development of analytical tools, simulations, and online learning materials to help adult learners with Type 1 Diabetes (T1D) understand the complex systems involved in managing their chronic illness. The project will use the context of T1D to develop a model for how people engage in complex systems sensemaking with real-world incomplete data, and will examine how...
- This $200,000 Project Grant award from the National Science Foundation's Engineering program (CFDA 47.041) aims to develop the mathematical and statistical foundations for a Digital Twin (DT) system to enhance neurophysiological modeling and uncertainty quantification for individuals with Autism Spectrum Disorder (ASD). The key products and services to be delivered include: Computational models based on Conditional Variational Auto-Encoders (CVAE) and longitudinal CVAE to analyze brain...
This Project Grant award from the National Science Foundation (NSF) under the Mathematical and Physical Sciences (CFDA 47.049) federal grant program aims to improve diabetes care through the development of personalized digital twin models. The $716,195 award to the Research Foundation for the State University of New York (RF SUNY) will fund the creation of virtual patient models that can learn from wearable health sensors and guide real-time insulin delivery using automated medical devices. The key innovation is the use of mathematical methods to quantify and manage uncertainty in the AI-powered predictions and recommendations, improving the reliability of treatment decisions for individuals with type 1 diabetes. The broader impacts include reducing diabetes complications, healthcare costs, and fostering public trust in AI-empowered healthcare technologies, while also providing educational opportunities for students and early-career researchers. The project will run from September 15, 2025 to August 31, 2028.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $716.2k | 8/20/25 |