Project Grant 2507339
- This $375,840 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports the development of advanced machine learning models to enable accurate and early prediction of Alzheimer's disease and related dementias (ADRD). The project, led by the University of Virginia, will leverage novel natural language processing techniques to automatically extract personal risk factors for ADRD from electronic health...
- This federal Project Grant award of $150,000.00, funded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070), aims to develop advanced machine learning models and algorithms for the early prediction of Alzheimer's Disease and Related Dementias (ADRD) using electronic health record (EHR) data. The research project, led by the University of Iowa, will leverage natural language processing techniques to automatically extract...
- This $324,160 federal Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program supports the development of advanced machine learning models and computational platforms to enable early and accurate prediction of Alzheimer's disease and related dementias (ADRD). The project aims to extract personal risk factors, such as education, employment, and lifestyle information, from electronic health record data using novel natural...
- This federal Project Grant award of $307,000.00 from the National Institute on Aging (CFDA 93.866 - Aging Research) aims to conduct a single, highly powered study to identify memory processes that are most sensitive to the asymptomatic, preclinical stage of Alzheimer's disease (AD) pathology. The study combines a continuous report item-location associative memory task with advanced behavioral and neural modeling to estimate subtle changes in memory precision that may differentiate healthy...
- This Project Grant award from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program will provide $698,115 to the University of Southern California (USC) to investigate how brief social interactions can affect brain function and cognitive performance in older adults. The project will use advanced brain imaging techniques, such as functional MRI, to study how these interactions influence the brain's salience network and its connections to other...
- This federal Project Grant award of $4,591,694.00 from the National Institute on Aging (CFDA 93.866 - Aging Research) aims to develop and validate an Alzheimer's disease-specific speech profile using automated speech analysis. The objective is to improve early detection and monitoring of Alzheimer's disease by leveraging existing and newly collected longitudinal speech samples from culturally and educationally diverse populations. The project will use machine learning algorithms to identify...
- This Project Grant award of $346,803, provided by the National Science Foundation's Social, Behavioral, and Economic Sciences program (CFDA 47.075), supports research at the University of Chicago to test theories underlying what makes certain stimuli more memorable than others. The project aims to understand the underlying brain mechanisms that determine what information is prioritized for storage in human memory. The research utilizes behavioral experiments, brain imaging, and artificial...
- This $150,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program supports the development of a computational platform using machine learning and natural language processing to extract personal risk factors from electronic health records (EHRs) and leverage them for early and accurate prediction of Alzheimer's disease and related dementias (ADRD). The key products and services to be delivered under this award include...
- This Project Grant award from the National Science Foundation (CFDA 47.041 - Engineering) provides $597,232.00 to the University of Illinois to develop a new imaging technique called "intrinsic signal optoretinography" for detecting early functional biomarkers of Alzheimer's disease in the retina. The research aims to establish this noninvasive, quantitative method for measuring changes in the retina that could indicate neurodegeneration in the brain before structural damage is...
- This federal Project Grant award of $441,612 from the National Institute on Aging (CFDA 93.866 - Aging Research) to Trustees of Boston University (Boston University Medical Campus) supports research to evaluate the use of digital cognitive measures, such as digital pen tasks and voice recordings, to monitor early cognitive decline in relation to modifiable Alzheimer's disease risk factors. The project aims to leverage the Framingham Heart Study's longitudinal data on digital cognitive...
This Project Grant award of $160,000.00 from the National Science Foundation's Social, Behavioral, and Economic Sciences program (CFDA 47.075) supports an early career researcher establishing biomarker-based diagnostic tools to detect early signs of Alzheimer's disease progression. The research investigates changes in idiom comprehension as a potential linguistic marker, conducting a series of behavioral studies to understand how processing of idiomatic language reflects underlying cognitive changes in Alzheimer's disease. This work aims to translate behavioral science into clinically applicable diagnostic tools, providing a more sensitive, accurate, and less costly approach compared to current physiological testing methods. The project period runs from Jan 15, 2026 to Dec 31, 2027 and is sponsored by Dr. Stefanie Wulff at the University of Florida.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $160.0k | 8/25/25 |