Project Grant R41HD100284

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) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) provides $1,183,690 to the University of California, San Francisco (UCSF) to develop personalized machine learning models that can predict repeat adverse health events like substance use and stress-related hypertension using data from consumer wearable devices. The key objectives of this 4-year project are to: 1) Create AI models that...

This Project Grant award from the National Institute of Biomedical Imaging and Bioengineering (NIBIB) under the Discovery and Applied Research for Technological Innovations to Improve Human Health program (CFDA 93.286) provides $173,700 to The Leland Stanford Junior University to develop wearable haptic sensory prosthetic devices. The key objectives are to: 1) Exploit attributes from both cutaneous and deep tissue sensation to communicate intensity levels, and 2) Use 3D printed soft actuators...

The National Institute of Biomedical Imaging and Bioengineering (NIBIB) awarded Akna Health Inc. a $151,600 Project Grant (CFDA 93.286 - Discovery and Applied Research for Technological Innovations to Improve Human Health) to develop a point-of-care diagnostic solution for early identification of high-risk pregnancies. The research aims to validate the clinical relevance of cervical biomarkers as predictors of perinatal complications, such as fetal growth restriction, miscarriage, and...

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 $768,122 Project Grant from the National Institute of General Medical Sciences will support the development of statistical software to predict adverse medical events in preterm infants using multi-sensor streaming data. The awardee, William D Shannon Consulting LLC doing business as Biorankings, will develop an algorithm to transform sensor data from neonatal intensive care units into graphical representations of associations. Decision rules from statistical process control will then...

This Project Grant award from the National Institutes of Health (NIH) Office of the Director under the Trans-NIH Research Support program (CFDA 93.310) provides $150,000 to the University of Texas at Austin to develop a biomechanics-guided wireless ultrasonic e-tattoo sensor system for continuous, cuffless ambulatory blood pressure monitoring. The key objectives are to: 1) Design an ultra-low-power, millimeter-scale application-specific integrated circuit (ASIC) capable of duplex mode ultrasound...

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), aims to develop predictive risk models for severe maternal morbidity (SMM) using multimodal clinical and social determinants of health (SDOH) data. The $684,290 award to Weill Medical College of Cornell University will fund a 5-year research project to: 1) link electronic health records and claims data with...

The National Institute of Child Health and Human Development (NICHD) has awarded a $423,985 Project Grant under the Child Health and Human Development Extramural Research program (CFDA 93.865) to the University of Illinois to develop a novel non-invasive monitoring system for detecting placental dysfunction and associated pregnancy complications. The funding will support research to utilize extracellular vesicles (EVs) circulating in maternal blood as biomarkers, using a "target recycling...

The National Science Foundation (NSF) awarded a $550,000 Project Grant under the NSF Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084) to the University of Missouri System to develop six-lead, wearable heart monitors using innovative, multifunctional, porous, soft materials. The project aims to enhance wearable heart monitors for improved cardiac health management by addressing current limitations in ambulatory ECG monitoring, such as motion-induced artifacts and limited...