This federal Project Grant award from the National Heart, Lung, and Blood Institute (NHLBI) under the Cardiovascular Diseases Research program (CFDA 93.837) is funding the development and validation of a machine learning-based software tool for optimizing the placement of the MitraClip device to treat mitral regurgitation. The $2,027,737 award to 3DT Holdings, LLC, a minority-owned biomedical engineering company, will support the creation of a dataset of patient data to model mitral valve...
This Project Grant award from the National Heart, Lung, and Blood Institute (CFDA 93.837 Cardiovascular Diseases Research) provides $443,544 to Dasisimulations LLC to develop and validate an AI-driven software platform for automating critical measurements required for pre-planning transcatheter aortic valve replacement (TAVR) procedures. The software leverages convolutional neural networks to automatically extract necessary anatomical measurements from CT imaging data, reducing the...
The National Heart, Lung, and Blood Institute (NHLBI), part of the National Institutes of Health (NIH), awarded a $656,751 Project Grant under the Cardiovascular Diseases Research program (CFDA 93.837) to Third Coast Dynamics, Inc. The grant will fund the development and validation of an AI-based platform called TCDFLOW that can provide 4D hemodynamic output directly from routine clinical anatomic images, replacing the need for the specialized 4D flow MRI technique. This will address limitations...
This Project Grant award from the National Heart, Lung, and Blood Institute (NHLBI), under the Cardiovascular Diseases Research program (CFDA 93.837), provides $294,023 to Heartlung Corporation to develop and validate an FDA-designated breakthrough AI tool called AUTOCHAMBER. The AUTOCHAMBER AI is designed to opportunistically screen existing chest CT scans to detect enlarged cardiac chambers and thickened left ventricular walls, which can indicate increased risk of atrial fibrillation,...
The National Heart, Lung, and Blood Institute (NHLBI), a division of the National Institutes of Health (NIH), awarded a $321,363 Project Grant under the Cardiovascular Diseases Research program (CFDA 93.837) to Nucleusrx, Inc. located in Cranbury, NJ. The purpose of this 1-year project is to develop and test Nucleusrx's virtual care platform and remote intervention tool targeting post-acute care heart failure (HF) patients. The goal is to provide a safe and cost-effective discharge transition...
This $507,718.03 Project Grant awarded by the National Heart, Lung, and Blood Institute (NHLBI) under the Cardiovascular Diseases Research program (CFDA 93.837) aims to develop a non-contrast, free-breathing 3D T1 mapping MRI technique to detect and quantify myocardial fibrosis in pediatric cardiomyopathy patients. The key objectives are to: (1) use innovative k-space sampling and deep learning to improve image quality and reduce scan/reconstruction time, (2) implement deep learning for...
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 therapies, especially in patients with ischemic...
This Project Grant award from the National Heart, Lung, and Blood Institute (NHLBI), under the Cardiovascular Diseases Research program (CFDA 93.837), provides $117,000.00 to The Regents of the University of Colorado, doing business as the University of Colorado-Denver, to conduct secondary analysis of 3D echocardiography images of the right ventricle to compute 3D surface strain. The goal is to enhance the computational pipeline for processing and analyzing 3D strain data using machine...
This federal Project Grant award from the National Institute of Biomedical Imaging and Bioengineering (CFDA 93.286: Discovery and Applied Research for Technological Innovations to Improve Human Health) supports the development of an AI-assisted strategy for monitoring pulmonary congestion in acute heart failure patients in emergency settings. The $608,944 award, effective February 1, 2025 through January 31, 2029, aims to automate lung ultrasound congestion scoring using AI/ML methods and a...
This $671,544 federal Project Grant award from the National Heart, Lung, and Blood Institute (CFDA 93.837 Cardiovascular Diseases Research) aims to develop and validate a cardiac ultrasound radiomics-guided deep neural network model for acute myocardial infarction (AMI) risk stratification. The research objectives are to: 1) benchmark the radiomics-guided model against conventional risk assessment in predicting 1-year all-cause mortality, 2) assess if point-of-care ultrasound radiomics can...