Project Grant DP2HL157941

This federal Project Grant award of $843,607, provided by the National Heart Lung and Blood Institute (CFDA 93.837 Cardiovascular Diseases Research), supports research at the Icahn School of Medicine at Mount Sinai to investigate the link between ischemic cardiac injury and its impact on sleep regulation through an immune-mediated heart-brain axis. The research aims to document the neuroimmune pathways that regulate sleep after myocardial infarction (MI) and the consequential brain-heart outputs...

The National Science Foundation awarded Cardiophi LLC $532,000 under the Technology, Innovation, and Partnerships program to develop an artificial intelligence solution for the automated interpretation of electrocardiograms. The project aims to refine existing deep learning-based algorithms for detecting irregular heartbeats, develop methods for predicting the onset of cardiac arrhythmias, and create interpretable and explainable tools to provide insights from ECG signals to clinicians....

This Project Grant award from the National Heart, Lung, and Blood Institute (NHLBI), under the Cardiovascular Diseases Research federal grant program (CFDA 93.837), provides $450,000 in funding to Old Dominion University to investigate the relationship between disturbed sleep and the development of vulnerable atherosclerotic plaques. The primary objectives are to: 1) examine the role of NADPH-dependent oxidative stress in accelerating the formation of vulnerable atherosclerotic plaques in...

This two-year, $200,000 project grant from the National Science Foundation's Computer and Information Science and Engineering program (CFDA 47.070) will support the development of interpretable deep learning methods and software for automated sleep phenotyping using multimodal health sensing data. Beth Israel Deaconess Medical Center will leverage polyssomnography data and novel radio frequency sensing techniques to build accurate deep learning models for classifying sleep stages and apnea...

The National Heart, Lung, and Blood Institute (NHLBI), under the Cardiovascular Diseases Research federal grant program (CFDA 93.837), awarded a $306,872 project grant to Vena Vitals Inc., a women-owned small business in Irvine, California. The grant funding supports the development of "VeriSleep", a wearable device that can provide continuous, non-invasive monitoring of cardiovascular biomarkers during sleep. The goal is to create a robust, cost-effective solution that can capture...

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...

This Project Grant award from the National Heart, Lung, and Blood Institute (NHLBI), under the Cardiovascular Diseases Research federal grant program (CFDA 93.837), will support a $704,611 research project to develop and validate an AI-based model, named EchoNext, that can accurately detect undiagnosed structural heart disease (SHD) from electrocardiogram (ECG) data. The project aims to: 1) prospectively validate the accuracy of EchoNext in detecting undiagnosed SHD in patients presenting to...

This federal Project Grant award for $696,470, provided by the National Heart, Lung, and Blood Institute (CFDA 93.837 Cardiovascular Diseases Research), aims to investigate the relationship between prenatal maternal sleep and cardiovascular disease risk in offspring. The University of Denver is the primary awardee, and they have sub-awards with Northwestern University and the University of Colorado, Anschutz Medical Center. The key objectives are to: 1) examine how prenatal maternal sleep...

This $150,000 project grant from the National Science Foundation's Computer and Information Science and Engineering program aims to develop technologies to improve cardiac care for patients in rural and tribal areas of Arizona. Clemson University is partnering with Northern Arizona University and community leaders to plan an integrated remote heart monitoring system. The system will utilize deep learning and Markov-based methods to predict deterioration in symptoms for patients with conditions...

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...