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...
The National Science Foundation Division of Electrical, Communications and Cyber Systems awarded a $250,000 Project Grant to Northeastern University for research titled "COLLABORATIVE RESEARCH: AN IMPLANTABLE INTRACRANIAL ULTRASOUND STIMULATION FOR TREATING NEURODISEASES." The three-year award beginning August 15, 2021 supports research under the NSF Engineering program (CFDA 47.041) to develop an implantable intracranial ultrasound device for treating neurodiseases. The NSF...
The National Institute of Neurological Disorders and Stroke (NINDS) awarded a Project Grant of $438,836 to The Trustees of the Stevens Institute of Technology under the Extramural Research Programs in the Neurosciences and Neurological Disorders (CFDA 93.853) federal grant program. The award supports research to develop a unified paradigm using simultaneous multimodal measurement of scalp EEG and intracranial EEG (iEEG) signals to estimate the electrophysiological networks of the whole brain....
This $256,000 National Science Foundation Project Grant under the Engineering program (CFDA 47.041) funded Neurologic Solutions Inc. to improve epilepsy diagnosis through network analytics applied to non-seizure scalp EEG data. The NSF Directorate for Engineering seeks to foster innovation and excellence in engineering research, such as developing new techniques for analyzing biomedical data to advance disease diagnosis. Under this award beginning in May 2021, Neurologic will apply network...
The Regents of the University of Minnesota received a $122,214 Computer and Information Science and Engineering (CFDA 47.070) project grant from the National Science Foundation (NSF). The grant will fund the development of a machine learning-based clinical decision support framework to assist epileptologists in diagnosing epilepsy. The key products and services to be delivered include: A fully automated and efficient electroencephalography (EEG) data preprocessing pipeline using deep learning...
This federal Project Grant award of $657,958, provided by the National Institute of Neurological Disorders and Stroke (NINDS) under the Extramural Research Programs in the Neurosciences and Neurological Disorders (CFDA 93.853) program, supports research to elucidate the cellular and network mechanisms underlying epileptic activity and seizures, as well as investigate the neuronal impact of neurostimulation for treating drug-resistant epilepsy. The 5-year award to Trustees of Boston University...
This Project Grant award of $555,499 from the National Institute of Neurological Disorders and Stroke (NINDS) under the Extramural Research Programs in the Neurosciences and Neurological Disorders (CFDA 93.853) is funding research to develop novel, non-invasive behavioral biomarkers for predicting seizures and mortality in mouse models of epilepsy. The principal investigators at Stanford University, in collaboration with researchers at Harvard Medical School, will use artificial...
The National Science Foundation (NSF) awarded a $963,459 Cooperative Agreement under the NSF Technology, Innovation, and Partnerships (CFDA 47.084) program to Neurodyne, Inc. for the development of an Analog Front End (AFE) platform for lightweight, long-term, cortical monitoring. The project aims to provide next-generation ambulatory seizure data acquisition capabilities, enabling remote neurological data acquisition for applications such as military helmet designs, sports-related brain...
This $120,276 federal Project Grant awarded by the National Science Foundation (NSF) under the STEM Education program (CFDA 47.076) will fund a collaborative research project to enhance episodic memory through the integration of real-world brain recording, stimulation, and perception data. The key objectives are to: Synchronize human experience data from various IoT sensors with neuronal activity recordings to understand how brain patterns relate to real-world experiences. Leverage...