Project Grant R43NS119015

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 $199,005 National Science Foundation project grant funds research at the University of North Florida to develop machine learning algorithms using noninvasive wearable sensors to forecast seizures and optimize antiseizure medication dosing for women with epilepsy. Funded under the NSF's Engineering program (CFDA 47.041), which supports innovation and excellence in engineering research and education, the two-year award will investigate hormonal changes associated with the menstrual cycle...

This $778,398 National Institute of Mental Health project grant will fund research at the University of California, San Diego to test the accuracy of eye tracking as an early screening tool for autism spectrum disorder (ASD) in the general pediatric population. The research aims to screen approximately 8,000 toddlers ages 12-24 months attending well-baby checkups over the five-year period from May 2023 to March 2028. Researchers will use eye tracking technology to measure social attention...

The Project Grant award from the National Eye Institute (CFDA 93.867 Vision Research) supports the development of an accurate, non-invasive, and automated 24-hour intraocular pressure (IOP) monitoring device. The overarching goal is to create a wearable IOP monitor that can improve the clinical management of glaucoma, the leading cause of irreversible blindness. The $713,964 award will fund research activities over a 5-year period from March 2025 to February 2030 at the University of California,...

This Project Grant from the National Science Foundation's Technology, Innovation, and Partnerships program totaling $100,000 aims to develop a computational solution to evaluate optic nerve function. Specifically, the University of Nevada, Reno will use the funding to potentially create an affordable, convenient head-mounted display capable of remotely and routinely assessing the health of the optic nerve through afferent pupillary defect tests. This screening tool may allow doctors, including...

This three-year, $658,002 National Science Foundation Engineering project grant funds research at Florida Atlantic University investigating changes in cerebral and retinal blood flow responses as a potential early diagnosis mechanism for Alzheimer's disease. The goal is to establish a viable, cost-effective early detection strategy through eye imaging procedures and new optical technologies measuring eye and brain blood flow changes associated with Alzheimer's. Machine learning tools will...

The National Eye Institute (NEI) awarded a $295,766 Project Grant (CFDA 93.867 - Vision Research) to Ther-Ai LLC, located in Oviedo, FL, to develop a smartphone application called ILIGN. The goal of this project is to create a rapid, non-invasive, and accurate artificial intelligence-driven system to pre-screen for ocular misalignment (strabismus), a leading cause of preventable blindness in children. The expected outcome is a software platform that allows untrained end-users to diagnose...

Ovid BP Systems Inc. received a $713,199 Project Grant award from the National Institutes of Health's National Heart, Lung and Blood Institute on April 15, 2021 to develop a blood pressure monitoring system using video recording on smart cameras. The goal of the Cardiovascular Diseases Research program, CFDA #93.837, is to support heart and vascular research. Under this award, Ovid BP will assess the feasibility of using video-based algorithms to accurately measure blood pressure through...

The National Eye Institute awarded a $245,243 Project Grant to Duke University to develop and validate a novel method for measuring ocular pulse amplitude (OPA) in normotensive and hypertensive eyes. The grant, funded under the Vision Research federal grant program (CFDA 93.867), aims to improve the measurement of intraocular pressure (IOP), which is critical for detecting and managing glaucoma. The project has two specific objectives: 1) validate applanation-based OPA measurements on...

This two-year, $200,000 project grant from the National Science Foundation's Computer and Information Science and Engineering program (CFDA 47.070) will support the development of interpretable deep learning methods and software for automated sleep phenotyping using multimodal health sensing data. Beth Israel Deaconess Medical Center will leverage polyssomnography data and novel radio frequency sensing techniques to build accurate deep learning models for classifying sleep stages and apnea...