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 $238,884 Project Grant award from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (SBE) program (CFDA 47.075) supports research to assess the efficacy of digital health technologies in low-resource settings. The 2-year project, running from April 2025 to March 2027, examines how digital health services impact treatment experiences, communication strategies, and perceptions of effectiveness for both patients and providers in a rural, low-resourced area....
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...
This National Science Foundation (NSF) Division of Computer and Network Systems Project Grant award totaling $839,998 to Michigan State University supports the development of a novel wireless optoelectronic implant system for closed-loop control of bi-hormone (insulin and glucagon) secretion from genetically modified islet organoids. The goal is to create an implantable, wireless, and battery-free device that can precisely regulate hormone levels to manage type 1 diabetes. The project involves...
This three-year $563,797 project grant from the National Science Foundation's Computer and Information Science and Engineering program aims to design health data-tracking technologies tailored for children. Led by the University of California Irvine, the award supports examining challenges in tracking children's health data through smartwatches, fitness bands, and patient monitors. The project consists of three stages. First, interviews will study data literacy, tracking experiences, and...
The National Science Foundation (NSF) has awarded a $360,000 Project Grant under the CFDA Program "Computer and Information Science and Engineering" to the University of Texas at Austin (UT Austin) and Michigan State University for a collaborative research project. The goal of this 4-year project is to develop a novel framework for continuous, precise, and closed-loop control of bi-hormone (insulin or glucagon) secretion from genetically modified islet organoid grafts using tiny,...
This $1,200,000 Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) aims to develop innovative diagnostic sensing technologies that can enable more frequent and comprehensive health monitoring. The key products and services to be delivered under this award include: Integrating DNA nanotechnology and CMOS electronics to create highly sensitive and easy-to-use biosensing platforms that can detect a wider range...
This Project Grant award of $829,637 from the National Institute of Child Health and Human Development (CFDA Program 93.865 - Child Health and Human Development Extramural Research) aims to determine the effectiveness of continuous glucose monitoring (CGM) at reducing maternal and neonatal morbidity and mortality in pregnant individuals with type 2 diabetes mellitus (T2DM), compared to standard self-monitoring of blood glucose. The project also aims to define adequate glycemic control targets...
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,...
This $211,590 Project Grant awarded by the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) under the Diabetes, Digestive, and Kidney Diseases Extramural Research program (CFDA 93.847) will support research into the real-time impacts of psychosocial factors on blood glucose levels among adults with type 1 diabetes. The principal investigator at Carnegie Mellon University will lead a 14-day study combining ecological momentary assessments and continuous glucose...