Project Grant 2625733
- 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....
- 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...
- 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...
- The National Science Foundation Division of Mathematical Sciences awarded Vanderbilt University $149,835 on August 1, 2026, under the Mathematical and Physical Sciences program (CFDA 47.049) to develop generalized slicers—mathematical and computational tools that accelerate transport-based comparisons in optimal transport theory. The project addresses computational scalability and interpretability barriers in optimal transport, a framework for comparing complex datasets by modeling data as...
- The National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation awarded Vanderbilt University Medical Center a $300,000 Project Grant under the Engineering (47.041) federal grant program. The three-year award, issued on June 1, 2021 and concluding on May 31, 2024, will support collaborative research to understand the effects of flow on smooth muscle cells in an arteriole-sized microchannel. Specifically, VUMC will analyze flow conditions and interactions at the...
- The National Heart, Lung, and Blood Institute awarded Vanderbilt University Medical Center $471,280 on August 10, 2026, under the Cardiovascular Diseases Research program (CFDA 93.837) to develop and validate in silico and in vitro modeling platforms for comparing surgical repair strategies in atrioventricular septal defects (AVSD). The research will create matched computational and laboratory-based functional models of atrioventricular valves from AVSD patients to identify optimal surgical...
- The National Science Foundation Division of Mathematical Sciences awarded Arizona State University $799,999 on November 1, 2026, under the Mathematical and Physical Sciences program (CFDA 47.049) to develop composable digital twins and computational frameworks for reconstructing counterfactual clinical-trial outcomes. The project, which runs through October 31, 2029, addresses a core challenge in clinical research: when medical practice evolves during long-running trials, final results...
- The National Science Foundation (NSF) awarded a 3-year, $567,284 Project Grant under the Engineering program (CFDA 47.041) to Purdue University to develop a scalable Bayesian methodology for reconstructing cardiovascular hemodynamic flow fields and cardiac structure from advanced medical imaging modalities like phase-contrast MRI, 4D flow MRI, and color Doppler echocardiography. The research aims to overcome limitations in current imaging techniques, such as inaccurate velocity flow...
- 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 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 clinical information becomes available, estimates hidden indicators of oxygen delivery, and quantifies uncertainty in those estimates. The model combines established physiological and engineering knowledge with constrained machine learning from clinical data to ensure predictions remain physically and medically plausible. The work will support 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 openly available software and privacy-preserving collections of simulated patients, and develop evaluation practices to inform future regulatory review. The resulting tools could improve safety and efficiency in heart surgery and may extend to other systems supporting the heart or lungs, as well as automated drug delivery. The project will also train students across computing, engineering, mathematics, and medicine and create new educational materials and an interdisciplinary workshop. Work is performed in Nashville, Tennessee, with a period of performance from October 1, 2026, through September 30, 2029.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $491.7k | 8/12/26 |