Project Grant 2625732
- The National Science Foundation Directorate for Mathematical and Physical Sciences awarded Vanderbilt University Medical Center $491,748 on October 1, 2026, under the Mathematical and Physical Sciences program (CFDA 47.049) to develop an uncertainty-aware digital twin that couples patient and cardiopulmonary bypass machine dynamics for in-silico evaluation of automated perfusion control. The project will create a computer-based replica of the patient and heart-lung machine that updates as new...
- This $200,000 Project Grant award from the National Science Foundation's Computer and Information Science and Engineering (CFDA 47.070) program will fund the development of advanced computational methods to create high-fidelity, fast-running digital twins of patient hearts and cardiovascular medical devices. The project aims to deliver: 1) novel machine learning algorithms for accurate digital twin geometry reconstruction from 3D medical images, 2) an efficient inverse method to identify in vivo...
- 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....
- This $997,770 project grant, awarded by the National Science Foundation (NSF) under the Mathematical and Physical Sciences (CFDA 47.049) program, aims to improve the accuracy and predictive capabilities of cardiac digital twin models for assessing the risk of sudden cardiac death. The research team at The Johns Hopkins University will develop novel, scalable, and data-driven mathematical and algorithmic calibration tools that combine advanced computational techniques and machine learning to...
- 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 Project Grant award from the National Science Foundation's (NSF) Division of Mathematical Sciences under the Mathematical and Physical Sciences Federal Grant Program (CFDA 47.049) aims to develop a personalized digital twin technology that will enhance the monitoring and understanding of cardiovascular aging. The $250,000 award to Lehigh University will integrate data from wearable devices, echocardiographic measurements, and advanced cardiovascular modeling to create a physics-based...
- This $455,825 federal Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) was granted to Iowa State University of Science and Technology to develop a personalized digital twin technology for monitoring and understanding cardiovascular aging. The project aims to integrate data from wearable devices, echocardiographic measurements, and advanced cardiovascular modeling to enhance the monitoring and early detection of...
- This National Science Foundation (NSF) Project Grant award under CFDA 47.041 (Engineering) supports the development of a new computational model to predict the complex interactions between ventricular assist devices (VADs) and the beating native heart. The goal is to create a "digital twin" of an experimental mock circulatory loop used for testing VAD safety and efficacy. This $195,291 award, effective August 1, 2024 through July 31, 2026, will result in a lumped parameter model that...
- 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...
- Federal Project Grant Award Summary The University of Utah received a $594,001 Project Grant from the National Science Foundation's Division of Mathematical Sciences (CFDA 47.049: Mathematical and Physical Sciences) awarded August 15, 2025, with completion targeted for July 31, 2028. The award funds research to advance cardiac digital twins (CDTs)—simulation-based, data-driven models designed to enhance precision medicine approaches for treating cardiovascular diseases, including arrhythmic...
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 delivery, and quantifies uncertainty in those estimates. The digital twin will combine established physiological and mechanical knowledge with constrained machine learning from clinical data to maintain physical and medical plausibility. The model will enable safe computer-based testing of automated approaches for managing blood flow and oxygen delivery before clinical use, including rare and high-risk scenarios difficult to study in trials. The project will use data from adult and pediatric heart surgeries across multiple hospitals, release open-source software and privacy-preserving collections of simulated patients, and develop evaluation practices to inform future regulatory review. Deliverables include educational materials and an interdisciplinary workshop training students across computing, engineering, mathematics, and medicine. Performance takes place in Nashville, Tennessee, with a period of performance from October 1, 2026, through September 30, 2029. The assistance type is a project grant.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $307.4k | 8/12/26 |