Project Grant R03AG098551
- This Project Grant award from the National Institute on Aging (CFDA 93.866 - Aging Research) will provide $441,612.00 to Trustees of Boston University, doing business as Boston University Medical Campus, to investigate the relationship between major modifiable risk factors and digital cognitive measures in monitoring early cognitive decline associated with Alzheimer's disease (AD) progression. The 5-year project, which commenced on May 15, 2025, will leverage the Framingham Heart Study's...
- This Project Grant award from the National Institute on Aging (NIA), part of the Aging Research federal grant program (CFDA 93.866), is intended to support research on Alzheimer's disease and related dementias (ADRD). The $129,330 award, which began on June 15, 2025, will enable the awardee, The General Hospital Corporation (doing business as Massachusetts General Hospital), to deploy a multi-modal information framework leveraging digital biomarkers and in vivo data to profile the...
- This federal Project Grant award of $327,000.00 was provided by the National Institute on Aging (NIA) under the Aging Research program (CFDA 93.866) to Trustees of Boston University Medical Campus. The grant aims to leverage multimodal data, including traditional neuropsychological tests and digital voice recordings, to identify preclinical cognitive trajectories in Alzheimer's disease. By incorporating a range of clinical risk factors and utilizing the Framingham Heart Study's longitudinal...
- 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...
- This Project Grant award of $1,012,879.00 was provided by the National Institute on Aging (NIA) under the Aging Research federal grant program (CFDA 93.866) to New York University (NYU) on September 5, 2025. The award supports the development of three novel statistical machine learning methods to enhance the understanding, diagnosis, and prediction of Alzheimer's disease (AD) using multi-view imaging, genomic, and clinical data. The specific objectives include: 1) developing a multi-view data...
- This Project Grant award, funded by the National Institute on Aging (CFDA 93.866 Aging Research), will support Dr. Tengfei Li's research at the University of North Carolina at Chapel Hill to develop a comprehensive set of life-span brain structural reference standards and an explainable artificial intelligence (AI) system for early detection and prognosis of Alzheimer's disease (AD) and related dementias. The $142,607 award, spanning from September 1, 2025 to May 31, 2030, will unify...
- This $287,118 Project Grant was awarded on September 1, 2023 by the National Institute on Aging (NIA) under the Aging Research (CFDA 93.866) grant program. The grant will fund the development of techniques to use deep transfer learning and multimodal data, including brain MRIs, genetic information, and cognitive tests, to enable the early detection and forecasting of Alzheimer's disease progression. The University of Massachusetts (UMass), as the prime awardee, will create an end-to-end...
- This Project Grant award of $366,648 from the National Institute on Aging (CFDA 93.866 - Aging Research) supports research by New York University to develop statistical methods for enhancing the estimation and modeling of Alzheimer's disease (AD) progression using data from longitudinal cohort studies. The key objectives are to: 1) Enable the use of clinically relevant time origins through proper adjustment for complex truncation and censoring in these studies, to improve clinical trial design...
- This Project Grant award from the National Institute on Aging (CFDA 93.866 - Aging Research) to the Trustees of Boston University, doing business as Boston University Medical Campus, provides $2,330,859.00 in funding to study age-related changes in brain network connectivity and their relationship to cognitive decline. The 3-year project aims to use multimodal neuroimaging, single-cell transcriptomics, electrophysiology, and neural tract-tracing in a rhesus monkey model to delineate how...
- This Project Grant, awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070), provides $324,160 to The Trustees of the University of Pennsylvania to develop advanced machine learning models for the early prediction of Alzheimer's Disease and Related Dementias (ADRD). The project aims to leverage personal health determinants, such as education, employment, and lifestyle factors, which are often present...
This Project Grant award from the National Institute on Aging (CFDA 93.866 - Aging Research) provides $323,825.00 to Trustees Of Boston University, doing business as Boston University Medical Campus, to develop novel graph-based representations of digital clock drawing tests (DCDTs) and advanced machine learning models to detect cognitive impairment early and accurately. The goal is to enhance the early detection of Alzheimer's disease and related dementias by leveraging the rich temporal and spatial data captured through digital neuropsychological tests like the DCDT. The project will run from January 1, 2026 to December 31, 2027. This grant supports innovative research to create advanced AI tools that can better utilize digital test data to predict cognitive decline, complementing traditional neuroimaging and blood-based biomarkers.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $323.8k | 12/31/25 |