Project Grant 2344731
- 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...
- 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 (NSF) Directorate for Engineering (CFDA 47.041) awarded a $472,000 Project Grant to the Regents of the University of Minnesota, a non-profit 1862 land grant college, to develop a general framework for designing and analyzing decentralized and federated learning systems. The proposed work aims to unify various distributed algorithms and provide insights to streamline their design and analysis across a range of applications beyond machine learning, such as control...
- This Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) provides $174,740 to The University of Texas at Tyler to develop improved deep learning models for the detection and monitoring of cardiac conditions from electrocardiogram (ECG) signals. The project aims to address key challenges in the real-world clinical deployment of deep learning for ECG diagnostics, including data scarcity for...
- This National Science Foundation (NSF) Project Grant award under the Engineering program (CFDA 47.041) is providing $448,039 to the University of Pennsylvania to develop a wireless, ear-based wearable device for monitoring neural activity and detecting seizures using artificial intelligence (AI). The key goals are to create an unobtrusive "earable" device with integrated AI capabilities to alert users and caregivers about seizure events. This addresses a critical gap in epilepsy care...
- The National Science Foundation Division of Electrical, Communications and Cyber Systems awarded $415,000 to the Regents of the University of Minnesota under the Engineering federal grant program (CFDA 47.041) from September 1, 2021 to August 31, 2024. This Project Grant will support the development of online learning tools and curriculum for Internet of Things monitoring and management. The University of Minnesota will leverage its expertise in embedded systems and networking to create...
- This federal Project Grant award from the National Science Foundation's Computer and Information Science and Engineering (CISE) program, CFDA #47.070, provides $150,000 to develop advanced machine learning algorithms and software systems that can accurately and early predict Alzheimer's Disease and related dementias (ADRD) using data from electronic health records (EHRs). The key products and services delivered through this 4-year project include: Novel computational methods to automatically...
- The National Science Foundation (NSF) Division of Mathematical Sciences awarded a $107,860 Project Grant to the Regents of the University of Minnesota, Office of Sponsored Projects Administration, a non-profit 1862 land grant college, to conduct research under the NSF Mathematical and Physical Sciences program (CFDA 47.049). The research project will develop theoretical foundations for using machine learning methods to solve high-dimensional partial differential equations, emphasizing predictive...
- This Project Grant award of $300,000 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program supports research on developing machine learning models for structural decision-making. The goal is to create models that can capture an agent's preferences and understanding of environmental dynamics, enabling better prediction and adaptation of decision-making in complex real-world scenarios. The research will explore methods for...
- The National Institute of Neurological Disorders and Stroke (NINDS) awarded a $426,250 Project Grant under CFDA 93.853, Extramural Research Programs in the Neurosciences and Neurological Disorders, to the Regents of the University of Minnesota, Office of Sponsored Projects Administration. This 2-year grant will fund research using cutting-edge voltage imaging to examine how interactions between specific neuronal circuit elements in the hippocampus relate to the development of temporal lobe...
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: This award reflects NSF's mission to advance computing and information science research and education, and addresses an unmet need in the field of epileptology by leveraging machine learning to reduce clinician workload and improve patient outcomes. No subcontracts are planned under this grant.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $122.2k | 8/31/23 |