Project Grant 2531428
- The National Science Foundation (NSF) awarded a $519,526 Project Grant under its Mathematical and Physical Sciences program (CFDA 47.049) to Texas Tech University System, a Hispanic Serving Institution, to develop new mathematical models and computational software for studying how modifiable risk factors like diet, exercise, and sleep impact the progression of Alzheimer's disease. The project aims to: 1) devise novel network dynamical systems models to describe the evolution of Alzheimer's...
- This National Science Foundation (NSF) Project Grant award to Wake Forest University, under the Computer and Information Science and Engineering (CFDA 47.070) program, aims to develop a "Neuron Twin" computational system that simulates the human brain to improve understanding and predictions related to Alzheimer's disease. The $501,329 five-year project will leverage deep learning and multiscale modeling to jointly analyze multimodal data, including genetic, neuroimaging, and...
- The National Science Foundation (NSF) Directorate for Mathematical and Physical Sciences awarded a $250,000 project grant to the University of Texas Rio Grande Valley (UTRGV) from September 1, 2023 to August 31, 2025. Under the Mathematical and Physical Sciences program (CFDA 47.049), UTRGV will develop mathematical models to describe the spread of toxic proteins in neurodegenerative diseases like Alzheimer's and Parkinson's. The research will focus on modeling the biochemistry of proteins and...
- The National Science Foundation (NSF) awarded a $550,000 Project Grant under the Biological Sciences (CFDA 47.074) federal grant program to Georgetown University. The 5-year grant, effective April 1, 2025, supports research to understand how changes in the extracellular matrix surrounding synapses affect synapse stability and brain function. This work aims to uncover the mechanisms that preserve brain connectivity, with potential to inspire new strategies for addressing neurological disorders...
- This $888,680 Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) will support collaborative research by the University of Maryland Baltimore County (UMBC) on developing digital twin models and data science techniques for studying neurodegenerative diseases like Alzheimer's, Parkinson's, and multiple sclerosis. The 3-year project aims to advance the theoretical foundations, methodological tools, and algorithmic principles of...
- This federal Project Grant award in the amount of $200,000 was provided by the National Science Foundation (NSF) under the Mathematical and Physical Sciences (CFDA 47.049) program. The grant supports fundamental research into mathematical techniques for modeling and analyzing strongly coupled neural oscillators, which is a necessary first step in developing new treatment options for brain disorders caused by abnormal brain rhythms. The research aims to advance the understanding of the...
- The National Science Foundation awarded a $464,102 Project Grant to the New Jersey Institute of Technology under the Mathematical and Physical Sciences federal grant program (CFDA 47.049). The grant will support research merging deep learning and mechanistic modeling to analyze electrophysiology related to circadian clocks, aging, cardiac arrhythmias, and Alzheimer's disease. Specifically, the grantee and collaborators at IBM Research and Purdue University will develop hybrid deep learning and...
- This $217,701 federal Project Grant award from the National Science Foundation (NSF) under the Mathematical and Physical Sciences program (CFDA 47.049) aims to elucidate the role of liquid-liquid phase separation (LLPS) in the pathological aggregation of proteins associated with neurodegenerative diseases. The research, conducted by a multi-disciplinary US-France consortium, will employ computational and experimental techniques to gain novel insights into the protein conformations and...
- This $100,000 Project Grant award from the National Science Foundation's Mathematical and Physical Sciences program (CFDA 47.049) supports fundamental research at the University of Tennessee to develop improved mathematical models of how neural oscillators interact in the brain. The research aims to provide a better understanding of the connection between neural rhythms and cognitive function, which could lead to new treatment options for brain disorders caused by abnormal brain rhythms, such as...
- The National Science Foundation (NSF) awarded a $399,978 Project Grant under the STEM Education (formerly Education and Human Resources) program (CFDA 47.076) to the College of Charleston. The grant aims to develop and test a web-based platform that uses neural connectivity data to improve student learning of neuroanatomy. Key products to be delivered include: Revising and expanding an interactive graphical software system called "Show Me the Brain!!" to include 3D models of...
The National Science Foundation (NSF) awarded a $237,174 Project Grant under the Integrative Activities (CFDA 47.083) program to Middlebury College. The grant will fund a fellowship for an assistant professor and undergraduate student training to develop mathematical models describing the accumulation of healthy and pathological tau protein in brain cells, as seen in neurodegenerative diseases like Alzheimer's. The project aims to integrate the intracellular dynamics of tau accumulation with neuronal electrical activity to create experimentally informed models that can predict the interaction between pathological tau buildup, neuronal behavior, and intracellular transport. This work will be conducted in collaboration with a researcher at Duke University and is expected to be completed by December 31, 2027.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $237.2k | 9/15/25 |