Cooperative Agreement AIDOAAF1300077

This $550,000 Project Grant award from the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (CFDA 47.084) program supports the development and validation of a non-invasive, multiplex blood test for the early detection of preeclampsia, a serious pregnancy complication. The project aims to advance the detection of vascular dysfunction, particularly preeclampsia, by optimizing a blood test that targets disease-inducing signaling proteins on the surface of...

This Project Grant award for $299,712 from the National Science Foundation's (NSF) Integrative Activities program (CFDA 47.083) supports the development of electrochemical aptamer-based (E-AB) sensors for the rapid and accurate detection of multiple cardiovascular disease (CVD) biomarkers. The University of South Carolina, with mentorship from collaborators at the University of Cincinnati, will design and characterize these multiplexed E-AB sensors to enable early diagnosis of CVDs, which are...

Federal Grant Award Summary The National Heart, Lung, and Blood Institute (NHLBI) awarded The Washington University a Project Grant totaling $639,165 (awarded May 15, 2025; completion February 28, 2030) under the Cardiovascular Diseases Research program (CFDA 93.837) to develop an equitable and accessible wearable device for continuous calculation of blood loss related to postpartum hemorrhage (PPH). The project addresses the critical clinical challenge that PPH represents the leading cause of...

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...

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 National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) Cooperative Agreement award for $997,142 aims to develop a rapid phenylalanine blood level monitor for patients with phenylketonuria (PKU), a lifelong genetic disorder. The product consists of a test strip and device that can provide frequent, accessible monitoring of phenylalanine levels from a finger prick to improve disease management and patient outcomes. The project focuses on optimizing the...

This Project Grant award from the National Heart, Lung, and Blood Institute (CFDA 93.837 Cardiovascular Diseases Research) to Makani Science Inc. will develop a continuous respiratory monitoring platform to accurately classify apnea of prematurity (AOP) in premature newborns. The $371,021 award will fund a two-phase effort to build a multimodal monitoring system and machine learning models to identify the major AOP types (central, obstructive, and mixed). The initial R61 phase will develop the...

Award Summary The National Heart, Lung, and Blood Institute (NHLBI) awarded Trustees of Boston University a $649,678 Project Grant under the Cardiovascular Diseases Research program (CFDA 93.837) on September 2, 2025, to develop and validate a wearable, cuffless blood pressure monitoring system based on high-speed speckle contrast optical spectroscopy (SCOS). The project, extending through May 31, 2029, addresses a critical clinical need by advancing technology from its current benchtop state...

Florida International University was awarded a $250,000 Project Grant from the National Science Foundation's Technology, Innovation, and Partnerships program (CFDA 47.084) to develop an artificial intelligence-enabled real-time system for early epileptic seizure detection and prediction. The two-year project will design and develop advanced machine learning algorithms to identify neuromarkers in wearable electroencephalography data that can predict epileptic seizures. Researchers will...

This $550,000 Project Grant awarded by the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (CFDA 47.084) program supports the development of a remote monitoring system to reduce infections among patients undergoing peritoneal dialysis (PD). The project aims to enable real-time, continuous, and quantitative monitoring of biomarkers in dialysate to facilitate early detection and diagnosis of PD-associated infections. To achieve this, the project team will:...