This Project Grant award of $506,803, provided by the National Science Foundation's (NSF) Engineering program (CFDA 47.041), will fund research by the Research Foundation for the State University of New York (RF SUNY) to develop advanced multiscale modeling capabilities for predicting thrombus (clot) formation and its response to external loads. The goal is to create computational tools that can better forecast clot growth and rupture under varying blood flow conditions, such as pulsatile...
This Project Grant award of $418,901 from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) aims to enhance the understanding of the mechanisms that drive cardiac arrhythmias. The project integrates complex computational simulations of electrical, mechanical, and fluid dynamics within the cardiovascular system to explore how multiple physiological factors contribute to arrhythmia initiation and progression. The research findings will be incorporated into educational...
This Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) will support research to characterize the mechanical response of blood clots under external load. The $138,893 award to The Research Foundation for the State University of New York will develop a hybrid particle-continuum model to predict clot strength, toughness, and dynamic modulus based on clot composition. The research aims to advance understanding of how individual clot components,...
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...
This $760,046 federal Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports the development of a computationally-efficient multiscale modeling framework that integrates machine learning and artificial intelligence to predict structural and functional changes in the heart due to disease progression. The project aims to build fundamental understanding of heart disease by combining techniques from...
This $1,199,991 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program aims to develop novel technologies for real-time assessment of blood clot properties to improve stroke treatment. The key products and services under this grant include: Integration of a sub-millimeter Raman fiber probe into a catheter for intravascular, in-vivo measurement of clot chemical composition. Training of a convolutional neural network to...
This $240,412 Project Grant award from the National Science Foundation (NSF) Engineering Program (CFDA 47.041) supports collaborative research at East Carolina University (ECU) to investigate how tension affects the digestion of blood clots. The research aims to test hypotheses about how inherent and applied tension on fibrin fibers impact the fibrinolysis process, which is essential for the proper dissolution of blood clots to prevent risks like strokes and heart attacks. The...
This Project Grant award of $540,771 from the National Heart, Lung, and Blood Institute (NHLBI) under the Cardiovascular Diseases Research program (CFDA 93.837) aims to develop a personalized, socially conscious stroke risk stratification tool for patients with atrial fibrillation (AF). The key objectives are to: 1) Discover new clinical and socioeconomic risk factors for stroke in AF patients by leveraging large datasets including social determinants of health (SDOH) data; 2) Build novel,...
This federal Project Grant award from the National Science Foundation's Division of Civil, Mechanical, and Manufacturing Innovation (CFDA 47.041 - Engineering) provides $500,000 in funding to North Carolina State University to conduct fundamental research aimed at reducing blood clotting in medical devices. The key products and services to be delivered under this award include: 1) molecular dynamics simulations and interfacial spectroscopy to understand the role of hydration layers in preventing...
This federal Project Grant award from the National Heart, Lung, and Blood Institute (NHLBI), under the Cardiovascular Diseases Research program (CFDA 93.837), is focused on enabling clinicians to better leverage information from carotid computed tomographic angiography (CTA) scans to assess stroke risk. The $771,485 award, effective August 1, 2025 through May 31, 2030, aims to: 1) identify reliable imaging-derived carotid plaque features associated with cryptogenic stroke, 2) develop an advanced...