Project Grant R43NR018623

RCE Technologies, Inc. was awarded a $255,892 Small Business Innovation Research Phase I Project Grant from the National Science Foundation's Technology, Innovation, and Partnerships program to develop a proof-of-concept machine learning-based diagnostic system for detecting myocardial infarction and ischemia in real-time. The system aims to provide point-of-care clinical classification for heart attack cases using a novel, portable device integrating the awardee's proprietary external...

This Project Grant award from the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084) provides $275,000 to KAI TECH LLC to develop an advanced software system for automated electrocardiogram (ECG) analysis. The ECG-AID software prototype aims to improve the accuracy and accessibility of ECG interpretation by integrating a comprehensive ECG database, z-score-based assessments, and novel machine-learning techniques. This innovative...

This federal Project Grant award of $704,611 from the National Heart, Lung, and Blood Institute (NHLBI) under the Cardiovascular Diseases Research program (CFDA 93.837) aims to validate the accuracy of the "EchoNext" deep learning model in detecting undiagnosed structural heart disease (SHD) among patients presenting to emergency departments. The EchoNext model was developed using a large database of over 12 million ECGs and 1.5 million echocardiograms to generate accurate composite...

This Cooperative Agreement award from the U.S. Department of Health and Human Services' Advanced Research Projects Agency for Health (ARPA-H) program (CFDA 93.384) will fund the development of a functional prototype system called "MarginCall" at Emory University. The $8,945,662 project aims to create a nondestructive, direct digital capture and AI-based analysis system that can image surgical margins, detect cancer, and visualize tumor proximity to help reduce the need for repeat...

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 from the National Institute for Minority Health and Health Disparities, part of the Department of Health and Human Services National Institutes of Health, provides $769,755 to develop an unbiased machine learning tool for the prediction of acute coronary syndrome. The tool aims to minimize bias in predictions between patient demographic groups, as measured by equal opportunity difference and the Zemel statistic, to ensure machine learning algorithms do not exacerbate...

This federal Project Grant award from the National Institute of Neurological Disorders and Stroke (NINDS), under the Extramural Research Programs in the Neurosciences and Neurological Disorders (CFDA 93.853) program, provides $1,204,564 to Neurologic Solutions Inc. to further develop and validate the EPISCALP EEG analytics algorithm. EPISCALP aims to enhance the accuracy of epilepsy diagnosis by producing a risk score from resting-state EEG data, without relying on the presence of EEG...

This Project Grant award from the National Institute of Child Health and Human Development (NICHD), under the Child Health and Human Development Extramural Research program (CFDA 93.865), funds the development and validation of a machine learning-based fetal monitoring system to predict and prevent fetal hypoxia. The $261,310 award will support the creation of a high-sensitivity, high-specificity predictive model using a multi-site dataset of 50,000 fetal monitoring tracings coupled with...

This Project Grant award from the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $503,930 to the University of Puerto Rico Research and Development Center Division to develop a wearable sensor network with distributed computing capabilities for advanced health monitoring and biomechanics analysis. The key products and services to be delivered under this 5-year award include: Creating a novel distributed machine...

This Project Grant award from the National Heart, Lung, and Blood Institute (NHLBI), part of the National Institutes of Health (NIH), under the Cardiovascular Diseases Research program (CFDA 93.837), provides $295,895 to Ricovr Healthcare Inc. to develop a rapid, low-cost, point-of-care diagnostic platform for quantitatively measuring placental growth factor (PlGF) to predict and detect pre-eclampsia. The project aims to demonstrate the feasibility of this novel plasmonic fiber-optic...