Project Grant 2625745
- The National Science Foundation Division of Mathematical Sciences awarded $400,000 to the University of North Carolina at Chapel Hill on September 15, 2026, under the Mathematical and Physical Sciences program (CFDA 47.049) to develop a patient-specific digital twin integrating medical knowledge, medication records, and sensor data from smartphones and wearables to model Parkinson's disease symptom dynamics under levodopa treatment. The research will establish mechanistic-neural foundations...
- This $888,680 Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) will support collaborative research by the University of Maryland Baltimore County (UMBC) on developing digital twin models and data science techniques for studying neurodegenerative diseases like Alzheimer's, Parkinson's, and multiple sclerosis. The 3-year project aims to advance the theoretical foundations, methodological tools, and algorithmic principles of...
- The National Science Foundation Division of Mathematical Sciences awarded the University of North Carolina at Chapel Hill $250,000 on July 1, 2026, under the Mathematical and Physical Sciences program (CFDA 47.049) to develop theoretical foundations, methodological approaches, and computational tools for modeling time-dependent systems characterized by unknown heterogeneity across multiple subjects. The project advances a unified statistical and machine learning framework for analyzing complex...
- The National Science Foundation Directorate for Mathematical and Physical Sciences awarded Virginia Commonwealth University $279,994 on January 1, 2027, to develop data-driven computational models and mathematical theory describing information propagation in neural circuits impaired by Parkinson's disease, specifically the basal ganglia thalamo-cortical network. The project addresses how Parkinson's disease disrupts motor command transmission in the brain. Despite well-established markers of the...
- The National Science Foundation Division of Mathematical Sciences awarded Vanderbilt University $307,387 on October 1, 2026, under the Mathematical and Physical Sciences program (CFDA 47.049) to develop an uncertainty-aware digital twin that models coupled patient-device dynamics during cardiopulmonary bypass. The award funds creation of a computer-based replica of the patient and heart-lung machine that updates as new clinical information becomes available, estimates hidden indicators of oxygen...
- 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...
- The National Science Foundation Division of Mathematical Sciences awarded Worcester Polytechnic Institute $247,931 on January 1, 2027, under the Mathematical and Physical Sciences program (CFDA 47.049) to develop mathematical foundations for adaptable digital twins of glioblastoma. The project will create patient-specific computational models that integrate individual patient data, generate predictions, and quantify uncertainty in those predictions. Digital twin development for brain disorders...
- This $170,000 federal Project Grant award from the National Science Foundation's Computer and Information Science and Engineering (CISE) program (CFDA 47.070) aims to develop robust and human-aligned deep learning techniques for analyzing medical sensor time-series data. The primary goals are to: 1) identify input confounders that lead to spurious correlations in time-series data, 2) design knowledge-editing strategies to correct these spurious correlations, and 3) investigate the techniques...
- Federal Project Grant Award Summary The Pennsylvania State University received $499,994 in federal funding from the National Science Foundation's Division of Mathematical Sciences under the Mathematical and Physical Sciences (CFDA 47.049) program. The three-year project, which commenced September 1, 2025, and concludes August 31, 2028, develops an integrated digital twin modeling framework for Alzheimer's disease that combines clinical data, biomedical research, and advanced computational...
- The National Science Foundation Division of Mathematical Sciences awarded the University of Massachusetts $558,159 on November 1, 2026, under the Mathematical and Physical Sciences program (CFDA 47.049) to develop a theranostic digital twin computational model for personalized radiopharmaceutical therapy dosing in cancer treatment. The project will create a continuously updated virtual patient model built from imaging scans and blood biomarkers collected before and during treatment. The...
The National Science Foundation Division of Mathematical Sciences awarded North Carolina State University $400,000 on September 15, 2026, under the Mathematical and Physical Sciences program to develop a patient-specific digital twin integrating medical knowledge, medication records, and sensor data to estimate symptom dynamics in Parkinson's disease patients under levodopa treatment, predict responses to different dosing schedules, and support safer treatment decisions. The project will construct a hybrid mechanistic-neural model linking levodopa intake to hidden clinical states and observable sensor signals including gait, voice, and touchscreen data. Researchers will develop a posterior-weighted expectation-maximization method to estimate patient-specific parameters despite delayed medication effects, partially observed clinical states, limited longitudinal data, and safety constraints. The work will yield software and evaluation tools for assessing digital health technologies before clinical use and will train students in computing, statistics, artificial intelligence, and health while engaging the Parkinson's community to improve usability and trust. Performance runs from September 15, 2026, through August 31, 2029, at North Carolina State University in Raleigh, North Carolina.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $400.0k | 8/12/26 |