Project Grant R43HL184598
- The National Heart, Lung, and Blood Institute awarded Environment & Health Group Inc. $314,321 on August 5, 2026, under the Cardiovascular Diseases Research program (CFDA 93.837) to develop HeartSense.AI, a generative AI-driven mobile health solution for hypertension self-management in lower-income adults. The application describes an mHealth platform that integrates a generative AI model with home-based blood pressure monitoring, digital pill reminders, and non-physician-led telehealth to...
- The National Heart, Lung, and Blood Institute awarded Prenosis, Inc. $1,218,102 on September 1, 2026, under the Cardiovascular Diseases Research program (CFDA 93.837) to develop and validate the Heart Failure CardioScore, an artificial intelligence diagnostic tool for acute heart failure in emergency department patients. Prenosis will combine novel biomarkers and clinical data with machine learning to improve diagnostic and prognostic accuracy for acute heart failure, addressing the challenge...
- The National Institutes of Health National Heart Lung and Blood Institute awarded Mayo Clinic $376,272 on September 15, 2025, under the Cardiovascular Diseases Research program (CFDA 93.837) to support mentored career development training for Dr. Chieh-Ju Chao in artificial intelligence-enabled echocardiography interpretation. The award funds development and evaluation of an AI-enabled echocardiography interpretation system (AEIS) leveraging visual-linguistic models and large language models...
- The National Heart, Lung, and Blood Institute awarded Emory University $204,803 on March 7, 2026, under the Cardiovascular Diseases Research program (CFDA 93.837) to develop and validate an electrocardiogram-based deep learning model that predicts coronary artery calcium and adverse cardiovascular outcomes in South Asian populations. The project addresses the underestimation of atherosclerotic cardiovascular disease risk in South Asians through an artificial intelligence approach applied to...
- 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....
- The National Heart, Lung, and Blood Institute awarded Tele-Stethoscope Inc. $406,367 on September 1, 2026, under the Cardiovascular Diseases Research program (CFDA 93.837) to develop Phase I algorithms and demonstrate technical feasibility for a mobile phone–based diagnostic tool that uses acoustic data to predict clinically significant spirometry and echocardiogram findings. The recipient will develop algorithms for predicting FEV1 percent predicted findings using mobile phone–captured...
- This Project Grant from the National Heart, Lung and Blood Institute, part of the Department of Health and Human Services, was awarded under the Cardiovascular Diseases Research program (CFDA 93.837) to develop clinical software to support quantitative analysis and interpretation of myocardial contrast echocardiography (MCE) data. Narnar, LLC received $757,197 to create software modules that enhance MCE's ability to identify coronary microvascular dysfunction (MVD). The software will average...
- The National Heart, Lung, and Blood Institute awarded Northwestern University $279,516 under the Cardiovascular Diseases Research program (CFDA 93.837) on July 1, 2026, to assess the clinical utility, feasibility, and impact of implementing artificial-intelligence-powered point-of-care cardiac ultrasound (AI-POCUS) for early detection of cardiac dysfunction in aging people living with HIV in Tanzania. The project will enroll 400 people living with HIV aged 50 years and older from the Tanzania...
- The National Heart Lung and Blood Institute awarded Case Western Reserve University $1,573,126 on July 15, 2026, under the Cardiovascular Diseases Research program (CFDA 93.837) to develop an artificial intelligence-based decision-support tool that identifies patients at risk of myocardial ischemia using low-cost or no-cost screening data. The tool will analyze CT calcium scores, electrocardiogram data, and clinical risk factors to serve as a gatekeeper strategy for determining which patients...
- The National Heart, Lung, and Blood Institute awarded the University of Pittsburgh $593,985 on September 15, 2025, under Cardiovascular Diseases Research (CFDA 93.837) to develop artificial intelligence techniques that convert photoplethysmography measurements from off-the-shelf wearable devices into multi-lead electrocardiogram signals for real-time evaluation of acute myocardial infarction outside clinical settings. The project addresses a clinical gap: while electrocardiography is the gold...
The National Heart, Lung, and Blood Institute awarded Icardio.ai Corporation $290,142 under the Cardiovascular Diseases Research program (CFDA 93.837) on September 1, 2026, for an artificial intelligence-enabled diagnostic support system for echocardiography. Performance of the award concludes on August 31, 2027, at the recipient's location in Century City, California. The project addresses the shortage of trained echocardiographers and the infrastructure constraints that limit adoption of point-of-care ultrasound (POCUS) as a screening tool for cardiovascular disease. Current AI-based algorithms for automated interpretation of echocardiograms provide only binary disease-detection outputs and still require trained personnel to generate complete diagnostic reports. The award funds development of a solution integrating large language models from the generative pre-trained transformer (GPT) series to generate full diagnostic reports from echocardiography data, reducing dependence on Level III echocardiographer expertise and expanding access to cardiac screening in smaller clinics, remote locations, and ambulatory settings. The award is a Project Grant, an assistance type under the SBIR/STTR programs that emphasizes technological innovation and commercial application potential.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $290.1k | 8/21/26 |