Project Grant R03EB036648
Award Date 9/1/25
Completion Date 8/31/27
Dollars Obligated $152K
Federal Grant Program
Assistance Type
Project Grant
Place of Performance
Oregon, USA
Similar Awards
- 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 federal Project Grant award, "GLUCOSE PATTERNS AND CLINICAL OUTCOMES IN THE DALLAS HEART STUDY: A PATHWAY TO PRECISION DIABETES - CONTINUOUS GLUCOSE MONITORING (CGM) SYSTEMS", is provided 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). The $819,091 award to The Johns Hopkins University will fund research to use CGM and machine learning methods to identify...
- 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 $161,664 Project Grant award from the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), under the Diabetes, Digestive, and Kidney Diseases Extramural Research program (CFDA 93.847), aims to develop "DREAM: BUILDING EQUITABLE PREDICTIVE MODELS FOR PERSONALIZED DIABETES PHARMACOTHERAPY." The project has three key objectives: (1) creating predictive models to estimate individualized outcomes like HbA1c, weight, and hypoglycemia for diabetes medication options,...
- This Project Grant award from the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), under the Diabetes, Digestive, and Kidney Diseases Extramural Research program (CFDA 93.847), provides $847,498 to New York University (NYU) to develop and test an AI-driven clinical decision support system (CDS) and chatbot for managing patients on incretin mimetic medications (IMMs) for obesity treatment. The goal is to increase patient adherence and reduce the burden on healthcare...
- The federal Project Grant award of $731,071 from the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) under the Diabetes, Digestive, and Kidney Diseases Extramural Research program (CFDA 93.847) aims to address the challenges preventing the provision of guideline-recommended diabetes care in the United States. The overarching goals are to: Describe differences in diabetes care receipt across individual, neighborhood, and insurance characteristics. Examine differences in...
- This $696,824 federal Project Grant award from 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), supports research at the University of North Carolina at Chapel Hill (UNC-CH) to develop robust and interpretable multi-modal AI/ML models for precision medicine. The project aims to address key challenges in integrating complex, heterogeneous biomedical data...
- This $1,089,491 Project Grant award from the National Institute of Diabetes and Digestive and Kidney Diseases (CFDA 93.847 - Diabetes, Digestive, and Kidney Diseases Extramural Research) aims to develop novel statistical methods, computational algorithms, and user-friendly software to study individual health trajectories relevant to disease onset and progression for large, diverse healthcare datasets like electronic medical records and biobanks. The research, to be conducted by the University of...
- 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 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...