Project Grant R15HL181637
- This $188,136 Project Grant award from the National Heart, Lung, and Blood Institute (NHLBI), under the Cardiovascular Diseases Research program (CFDA 93.837), supports research to develop an Artificial Intelligence-Enabled Echocardiography Interpretation System (AEIS). The principal investigator, Dr. Chieh-Ju Chao, will train with a multidisciplinary mentoring team led by Drs. Bradley Erickson and Fei-Fei Li to advance his skills in visual-linguistic models and large language models. The goal...
- This federal Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $439,954 to Michigan State University (MSU) to develop advanced computational models of the heart that leverage machine learning and artificial intelligence. The goal is to create a multiscale modeling framework that can predict structural and functional changes in the heart due to disease conditions like pathological fibrosis. The...
- 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...
- The National Heart, Lung, and Blood Institute (NHLBI) awarded a $144,989 Project Grant (CFDA 93.837 - Cardiovascular Diseases Research) to The General Hospital Corporation (doing business as Massachusetts General Hospital) to develop, train, and test deep generative models using computed tomography (CT) images to predict lung injury progression and treatment responses in patients with acute respiratory distress syndrome (ARDS). The goal is to leverage artificial intelligence and image...
- The National Heart, Lung, and Blood Institute (NHLBI) awarded a $443,544 Project Grant under the Cardiovascular Diseases Research (CFDA 93.837) program to Dasisimulations LLC, a minority-owned small business located in Dublin, Ohio. The grant supports the development and validation of an innovative, AI-driven software platform to automatically perform complex measurements for pre-planning transcatheter aortic valve replacement (TAVR) procedures. The project aims to (1) develop and validate the...
- The National Heart, Lung, and Blood Institute (NHLBI) awarded a $164,127 Project Grant under the Cardiovascular Diseases Research program (CFDA 93.837) to the University of Texas Health Science Center at Houston (UTHealth) to develop an artificial intelligence-based facial recognition tool for screening and early detection of heritable thoracic aortic disease (HTAD). The project aims to leverage facial image data from the Montalcino Aortic Consortium's patient registry to build a...
- The National Heart, Lung, and Blood Institute (NHLBI), part of the National Institutes of Health, awarded a $756,228 project grant under the Cardiovascular Diseases Research program (CFDA 93.837) to the University of Florida (UF) to develop an AI-enabled model to better predict outcomes for patients with chronic limb-threatening ischemia (CLTI) who undergo revascularization procedures. The project aims to supplement electronic health record and clinical notes data with prospectively collected...
- This $812,534 Project Grant from the National Heart, Lung and Blood Institute will fund research at Kennesaw State University from September 2022 to August 2025 under the Cardiovascular Diseases Research program. The grant aims to further the university's understanding of congenital heart defects by studying the role of Akirin/NURD interactions in embryonic heart patterning and cardiogenesis. Specifically, the researchers will confirm the importance of Akirin/NURD interactions during development...
- 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...
- The National Heart, Lung, and Blood Institute (NHLBI), under the Cardiovascular Diseases Research federal grant program (CFDA 93.837), awarded a $816,472 project grant to the Icahn School of Medicine at Mount Sinai (ISMMS). The grant, awarded on August 1, 2025 and set to conclude on May 31, 2029, aims to enhance cardiovascular risk prediction and treatment response in obstructive sleep apnea (OSA) patients using advanced AI-based transformer models and multi-modal sleep data. The project will...
The U.S. National Heart, Lung, and Blood Institute (NHLBI), under the Cardiovascular Diseases Research program (CFDA 93.837), has awarded a $522,695 Project Grant to Kennesaw State University (KSU) to develop and validate a generative AI framework that can efficiently and accurately predict the biomechanical outputs of the bi-ventricular myocardium. The 3-year project aims to enhance personalized diagnosis and treatment of ventricular diseases, such as hypertrophic cardiomyopathy, heart failure, and dilated cardiomyopathy, which collectively contribute significantly to the global burden of cardiovascular disease. The proposed approach integrates generative AI models with biomechanics modeling to determine material properties and stress-free configurations using patients' 3D heart imaging data and clinical measurements.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $522.7k | 8/18/25 |