Project Grant R03HL182166
Award Date 8/1/25
Completion Date 7/31/27
Dollars Obligated $460K
Federal Agency
Federal Grant Program
Assistance Type
Project Grant
Place of Performance
North Carolina, USA
Similar Awards
- This Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences Program (CFDA 47.049) provides $640,562 to Duke University to develop advanced computer models that act as "virtual replicas" of a patient's blood vessels and heart activity. Using data from wearable sensors, the investigators will simulate how blood flows and interacts with vessel walls over time, enabling large-scale in silico testing of medical devices and therapies without...
- This Project Grant award of $154,000 from the National Institutes of Health (NIH) Trans-NIH Research Support program (CFDA 93.310) supports research software engineering work for the SimVascular open-source project at Stanford University. The funding will enable Dr. David Parker, a Research Software Engineer in the Marsden Lab, to make essential contributions over a 3-year period from August 2025 to May 2028. This includes code improvements, development and integration of new features, enhancing...
- This Project Grant award from the National Heart, Lung, and Blood Institute (CFDA 93.837 Cardiovascular Diseases Research) provides $1,182,618 to Iowa State University of Science and Technology to develop an advanced "digital twin" technology for personalized cardiovascular care. The goal is to create a rapid, predictive modeling platform that can simulate heart valve disease progression and optimize long-term treatment interventions. The research aims to integrate scientific machine...
- 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 federal Project Grant award, totaling $753,813 and provided by the National Heart Lung and Blood Institute (CFDA 93.837 Cardiovascular Diseases Research), supports research to develop novel machine learning techniques for predicting cardiovascular outcomes in patients with clonal hematopoiesis of indeterminate potential (CHIP). The key goals are to use cardiac MRI imaging and genomic data to: 1) Develop a machine learning model to accurately identify CHIP patients and predict their risk...
- This Project Grant award, valued at $498,991.40, was provided by the National Heart Lung and Blood Institute under the Cardiovascular Diseases Research program (CFDA 93.837) to the University of Arkansas, Fayetteville. The goal is to engineer microphysiological systems with tight oxygen control to investigate the molecular pathways activated in oxygen gradients and the resulting effects on cardiomyocyte function, in order to obtain a comprehensive understanding of the cardiac response to hypoxic...
- This Project Grant award from the National Heart, Lung, and Blood Institute (CFDA 93.837 Cardiovascular Diseases Research) is funding research to discover novel biomarkers and biological mechanisms underlying early-stage heart failure (HF). The $147,486 award to Duke University will support the development of an automated computational phenotype to identify early-stage HF, which will then be applied to large population cohorts. The research aims to leverage multi-omics data integration and...
- This Project Grant award from the National Heart, Lung, and Blood Institute (NHLBI), under the Cardiovascular Diseases Research program (CFDA 93.837), provides $293,653 to 3DT Holdings, LLC to develop a software tool for optimizing cardiac resynchronization therapy (CRT), conduction system pacing (CSP), and left ventricular endocardial pacing (LVEP) therapies. The goal is to reduce non-responder rates and improve patient identification for these treatments, especially for patients with...
- This $385,381 Project Grant award from the National Heart Lung and Blood Institute (CFDA 93.837 Cardiovascular Diseases Research) supports the development of dynamic biological hydrogels to modulate cardiac remodeling following myocardial infarction. The primary goals are to: 1) Improve the mechanical stability and stiffness of cardiac extracellular matrix hydrogels compared to existing therapies, and 2) Leverage changes in extracellular matrix composition to promote a more regenerative...
- This $556,295 Project Grant awarded by the National Heart, Lung, and Blood Institute (CFDA 93.837 - Cardiovascular Diseases Research) aims to advance scientific understanding of cardiac pacemaking and sinus node dysfunction (SND) through research on "conditional pacemaker cells" within distinct specialized pacemaker cell subpopulations. The project will leverage advanced optical mapping technology to directly visualize pacemaking activities within these specialized cell...