Project Grant 2625746
- 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...
- 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...
- 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 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 Civil, Mechanical, and Manufacturing Innovation awarded the University of North Carolina at Chapel Hill $409,985 on October 1, 2026, under the Engineering program (CFDA 47.041) to develop tensor-based mathematical and computational frameworks for modeling, analyzing, and controlling complex dynamical systems with higher-order interactions. The research integrates tensor theory, nonlinear systems theory, hypergraph theory, and data-driven methods to...
- The National Science Foundation Division of Mathematical Sciences awarded the University of North Carolina at Chapel Hill $100,000 on June 1, 2026, under the Mathematical and Physical Sciences program (CFDA 47.049) to develop theory, methodology, and software for statistical inference on spatiotemporal rates of change and boundary assessment in large, complex spatiotemporally indexed datasets. The project, which runs through May 31, 2029, focuses on quantifying and understanding change within...
- 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...
- Federal Project Grant Award Summary Duke University received a $640,562 Project Grant award from the National Science Foundation (NSF) Division of Mathematical Sciences under the Mathematical and Physical Sciences program (CFDA 47.049), effective September 15, 2025, with completion targeted for August 31, 2028. The award supports the development of scalable digital twin computational frameworks that create patient-specific virtual replicas of cardiovascular systems using wearable sensor data....
- 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 National Science Foundation project grant of $260,000 supports research at the University of North Carolina at Chapel Hill to develop statistical analysis frameworks for precision medicine incorporating abundant data features. Funded under the Mathematical and Physical Sciences program (CFDA 47.049), the three-year award running from August 2022 to July 2025 will adapt semi-parametric and reinforcement learning methods to precision medicine scenarios involving medical images, genetic...
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 for predicting symptom responses to different dosing schedules, estimate medication effects despite delayed action and partially observed clinical states, and support clinician-led treatment decisions that reduce trial-and-error medication adjustments. The team will develop a hybrid mechanistic-neural model linking levodopa intake to hidden clinical states and observable sensor signals (gait, voice, touchscreen), then create estimation methods for patient-specific parameters using limited longitudinal data under safety constraints. The project will release software and evaluation tools for researchers and regulators to assess digital health technologies before clinical deployment and will engage the Parkinson's community to strengthen usability and trust. Work is performed in Chapel Hill, North Carolina, with a period of performance ending August 31, 2029. The award supports student training in computing, statistics, artificial intelligence, and health sciences alongside the technical research objectives of improving quality of life for people with Parkinson's disease and reducing caregiver burden.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $400.0k | 8/12/26 |