Project Grant 2401922

Award Date 9/1/24
Completion Date 8/31/29
Dollars Obligated $349K
Funding Federal Agency
Office of Integrative Activities
Awarding Federal Agency
Division of Mathematical Sciences
Federal Grant Program
47.083
Assistance Type
Project Grant
Place of Performance
Greensboro, NC 27411, USA
Similar Awards
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 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 $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...
The National Science Foundation (NSF) awarded a $350,000 Project Grant under the Biological Sciences program (CFDA 47.074) to the University of Illinois in Chicago. The grant funds collaborative research to develop novel machine learning and natural language processing methods for early identification of patients at risk of chronic conditions like type 2 diabetes and congestive heart failure. The project aims to mine heterogeneous healthcare data, protect patient privacy, and create fair,...
The National Science Foundation (NSF) awarded a $303,930 Project Grant under the Social, Behavioral, and Economic Sciences (CFDA 47.075) program to St. Mary's University of San Antonio, Texas. The grant funds a 3-year randomized controlled trial (RCT) to study the impact of enhanced diabetes care on workforce participation and economic outcomes among uninsured residents. The project partners with community stakeholders to provide additional diabetes education, supplies, and care management to...
The National Science Foundation's STEM Education program awarded a $299,997 Project Grant to Winston-Salem State University (WSSU) to support research aimed at identifying latent frailty profiles in African American adults with prediabetes and diabetes. This three-year award will fund a series of secondary data analyses using the Jackson Heart Study public data resources to examine frailty in this population. The project has three main goals: 1) conduct basic research in latent profile...
This $320,502 Project Grant award from the National Science Foundation (NSF) Division of Information and Intelligent Systems is for a collaborative research project titled "Knowledge Discovery from Highly Heterogeneous, Sparse and Private Data in Biomedical Informatics." The research aims to mine healthcare data to identify patients likely to develop chronic conditions like type 2 diabetes and heart failure, and to develop models for opportunistic screening, particularly for...
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...
The National Science Foundation (NSF) awarded a $519,526 Project Grant under its Mathematical and Physical Sciences program (CFDA 47.049) to Texas Tech University System, a Hispanic Serving Institution, to develop new mathematical models and computational software for studying how modifiable risk factors like diet, exercise, and sleep impact the progression of Alzheimer's disease. The project aims to: 1) devise novel network dynamical systems models to describe the evolution of Alzheimer's...
This $108,131 federal Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program will fund research at Duke University to establish a new efficient simulation method for assessing rare but highly consequential epidemic events. The project aims to identify key risk factors in virus-spreading interactions that can facilitate large outbreaks, using disease models similar to COVID-19 and HIV as case studies. The research will provide improved...

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 aspects include constructing a theoretical threshold for diabetes progression, validating models with clinical data, and building data-derived models for personalized therapy. The project will also provide research experiences for STEM graduate students at the two historically Black universities. No sub-awards are planned under this award, which has an end date of August 31, 2029.

Generated 6/17/25, 4:27 AM