Project Grant K01AG095286
- 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 $1,012,879 Project Grant was awarded by the National Institute on Aging (CFDA 93.866 - Aging Research) to New York University (NYU) to develop three novel statistical machine learning methods for Alzheimer's disease (AD) research using multi-view imaging, genomic, and clinical data. The specific aims include: 1) developing a multi-view data decomposition method to construct brain and genomic networks across AD statuses, 2) developing an optimal false discovery rate control method to...
- This federal Project Grant award of $3,080,520.00 from the National Institute on Aging (CFDA 93.866 - Aging Research) supports research to develop novel biomarkers for the early detection of Alzheimer's disease and related dementias (ADRD) using resting-state functional magnetic resonance imaging (rs-fMRI) data and machine learning. The research aims to address limitations of current ADRD biomarkers by leveraging the dynamics of functional connectivity networks and accounting for heterogeneity...
- This $1,221,276 Project Grant award from the National Institute on Aging (CFDA 93.866 - Aging Research) supports the "In Vivo Single-Cell Analysis of Alzheimer's Disease-Associated Regulatory Elements" research project at the University of North Carolina at Chapel Hill. The project aims to develop a novel genomic platform called Single-Cell Massively Parallel Reporter Assays (SCMPRA) to investigate how Alzheimer's disease-associated regulatory elements orchestrate gene expression...
- This federal Project Grant award for $528,876, provided by the National Institute on Aging (CFDA 93.866 Aging Research), supports research to investigate the cis- and trans-genetic regulation of brain transcriptomics and proteomics associated with Alzheimer's disease (AD) and AD-related dementias (ADRD). The key goals of the project are to: Estimate genome-wide cis- and trans-acting quantitative trait loci (QTLs) effects for transcriptome-wide genes and proteome-wide proteins across 4 brain...
- This $2,151,878 federal Project Grant award, funded by the National Institute on Aging (NIA) under the Aging Research program (CFDA 93.866), supports research at the University of North Carolina at Chapel Hill (UNC-CH) and its subrecipient, the University of Pennsylvania, to map the causal genetic-imaging-clinical pathway for Alzheimer's disease (AD). The key products and services to be delivered through this 3-year project include: Developing robust functional connectome analysis and causal...
- This federal Project Grant award from the National Institute on Aging (CFDA 93.866 - Aging Research) to the University of Southern California provides $622,401 over 5 years starting January 1, 2025 to research causal models of brain biomarker changes leading to Alzheimer's disease and related dementias (ADRD). The project aims to: 1) fit novel deep learning models to predict ADRD pathology from diffusion MRI data, 2) generate individualized brain morphology prediction maps as "digital...
- This federal Project Grant award of $495,731.00, awarded on September 20, 2025 by the National Institute on Aging (CFDA 93.866 Aging Research program), supports the evaluation of Viewmind's ability to detect beta-amyloid and tau burden consistent with Alzheimer's disease in persons with mild cognitive impairment (MCI) using machine learning, virtual reality, and eye-tracking technology. The project aims to develop a non-invasive, cost-effective, and rapid diagnostic tool that can accurately...
- The University of North Carolina at Chapel Hill (UNC-CH) received a $427,625 Project Grant award from the National Institute on Aging under the Aging Research program (CFDA 93.866) to develop and validate a computational framework for identifying excitation-inhibition imbalances in Alzheimer's disease (AD) using multi-modal neuroimaging data. The goal is to create an innovative technique that can noninvasively detect circuit-level disruptions in brain networks associated with AD pathology, which...
- The National Institute on Aging (NIA), part of the Department of Health and Human Services National Institutes of Health, awarded a $3.37 million Project Grant to The University of Texas at Arlington to develop an individualized deep connectome framework for Alzheimer's disease and related dementias (ADRD) analysis. The three-year grant, awarded on August 18, 2022 under the NIA's Aging Research program (CFDA 93.866), will support research to discover and identify individualized...
This federal Project Grant award for $142,607, provided by the National Institute on Aging (CFDA 93.866 - Aging Research) to the University of North Carolina at Chapel Hill, will support research titled "Tracking Brain Structural Trajectories for Early Detection and Prognosis of Alzheimer's Disease." The project, led by Dr. Tengfei Li, aims to develop a comprehensive set of life-span brain structural reference standards and an explainable artificial intelligence system to facilitate early detection and diagnosis of Alzheimer's disease and related dementias. The award will fund the development of novel statistical and machine learning methodologies to analyze multimodal neuroimaging and genetic data from multiple research centers. The expected outcomes include tools to enable timely and precise detection of brain structural changes in the early stages of Alzheimer's disease, which will aid in the diagnosis and prognosis of the disease.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $142.6k | 8/26/25 |