Project Grant K01AG088452
Award Date 9/1/25
Completion Date 5/31/30
Dollars Obligated $112K
Federal Agency
Federal Grant Program
Assistance Type
Project Grant
Place of Performance
Texas, USA
Similar Awards
- 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 $3,687,278 federal Project Grant award from the National Institute on Aging (CFDA 93.866 - Aging Research) aims to optimize the validity of comparative effectiveness research in Alzheimer's disease and related dementias using large language models. The grant supports research at Brigham & Women's Hospital, a subsidiary of the Partners Healthcare System, to build novel large language models that can extract clinically relevant phenotypes from electronic health record data. This will...
- 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 Project Grant award from the National Institute of Nursing Research (NINR), under the Nursing Research program (CFDA 93.361), supports the development of Potentia Analytics Inc.'s "MyDocSaid" application. The $284,317 award will fund the creation of a patient-centric digital health recorder that uses advanced natural language processing and artificial intelligence to transcribe, summarize, and provide contextual insights from medical conversations. The goal is to enhance patient...
- 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 $440,000 Project Grant from the National Institute on Aging (CFDA 93.866 - Aging Research) supports the development and validation of natural language processing tools for automated scoring of autobiographical memory interviews. The project aims to: Use advanced machine learning methods to improve the accuracy of the AI-powered memory scoring software, which has already shown strong agreement with manual scoring in preliminary validation. This will be achieved by fine-tuning large...
- This Project Grant award of $4,787,820.00 from the National Institute on Aging (CFDA 93.866 - Aging Research) aims to gain a better understanding of the individual- and system-level characteristics that influence diagnosis of mild cognitive impairment (MCI) and Alzheimer's disease and related dementias (ADRD), and how diagnosis can moderate the effects of cognitive decline on employment, future care, and quality of life. The key objectives are to: 1) examine whether older adults experiencing...
- This four-year $1.15 million Project Grant from the National Science Foundation's Computer and Information Science and Engineering program (CFDA 47.070) supports research at the University of Michigan to develop techniques for learning from longitudinal observational clinical data in the presence of noise and confounding to tackle progressive diseases. The University will create shareable electronic health record-based definitions of mild cognitive impairment and Alzheimer's disease, and develop...
- This Project Grant award from the National Institute on Aging (CFDA 93.866 - Aging Research) provides $624,000.00 to the University of Texas Health Science Center at Houston to explore a patient priorities care framework for improving breast cancer survivorship care for older women with multiple chronic conditions. The project aims to use this framework to identify patient priorities, incorporate them into treatment plans, and evaluate the feasibility and impact on treatment burden and quality...
- This Project Grant award of $640,067 from the National Institute on Aging (CFDA 93.866 Aging Research) will fund the development of novel multimodal variational autoencoder (VAE) models to learn factors associated with cognitive resilience to Alzheimer's disease (AD) and related dementias. The University of Michigan, the awardee, will employ generative methods to discover new factors from existing multimodal data (molecular, anatomic, functional imaging, cognitive) and model dynamic...