Project Grant K08HL173697
- This $722,299 Project Grant award from the National Heart, Lung, and Blood Institute (CFDA 93.837 - Cardiovascular Diseases Research) supports a research initiative to use deep learning techniques to study normal variation in aortic valve hemodynamics and its link to the development of aortic stenosis. The primary objectives are to: 1) Measure aortic valve parameters in 100,000 UK Biobank participants using deep learning models, validate the measurements at UCSF, and develop models to identify...
- 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 Heart, Lung, and Blood Institute under the Cardiovascular Diseases Research program (CFDA 93.837) provides $793,868 to Tufts Medical Center to develop and validate innovative machine learning methods for automating the diagnosis of aortic stenosis (AS) from cardiac ultrasound imaging. The goal is to improve the identification and treatment of this life-threatening cardiovascular condition that affects over 12.6 million adults annually in the...
- 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), a division of the National Institutes of Health (NIH), awarded a $294,023 Project Grant (CFDA 93.837 Cardiovascular Diseases Research) to Heartlung Corporation to develop the AUTOCHAMBER AI tool. AUTOCHAMBER is designed to opportunistically screen existing chest CT scans for early detection of enlarged cardiac chambers and left ventricular hypertrophy, which can indicate risk of atrial fibrillation, stroke, and heart failure. The project...
- This federal Project Grant award, with a total funding amount of $304,415.00, was provided by the National Heart, Lung, and Blood Institute (NHLBI) under the Cardiovascular Diseases Research program (CFDA 93.837). The goal of this 1-year project is to develop a software solution that uses artificial intelligence and image analytics to improve cardiovascular risk prediction from screening CT calcium score (CTCS) images. The project team, which includes engineers and clinicians from...
- This federal Project Grant award of $240,000.00 was provided by the National Heart Lung and Blood Institute under the Cardiovascular Diseases Research program (CFDA 93.837) to the Baylor College of Medicine. The funding supports research aimed at elucidating the role of genetic variants associated with thoracic aortic aneurysms and dissections (TAAD) in driving epigenetic and regulatory changes that increase susceptibility to these life-threatening cardiovascular conditions. The research...
- 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,...
- 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 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 state-of-the-art AI system that can rapidly identify individuals with potential pathogenic variants in HTAD-associated genes. This screening approach could facilitate early diagnosis and intervention to prevent life-threatening aortic dissections, particularly in children and cases where syndromic features are missed. The award period runs from September 2025 through August 2030.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $164.1k | 9/12/25 |