Project Grant R41AG053149

This Project Grant from the National Institutes of Health's National Institute on Aging, under the Aging Research program (CFDA 93.866), provided $137,342.16 to Stanford University to develop generalizable deep learning networks for dual-tracer amyloid and tau positron emission tomography (PET) and magnetic resonance imaging (MRI) of Alzheimer's disease. Specifically, the university will validate the diagnostic value of convolutional neural networks (CNNs) in actual ultra-low-dose amyloid and...

Project Grant Summary: Neuroimaging-Genomic Fingerprints for Alzheimer's Disease Subtyping Wake Forest University Health Sciences received a $770,558 Project Grant award from the National Institute on Aging (NIA) under the Aging Research program (CFDA 93.866), effective July 1, 2025, through March 31, 2030. The grant supports research to establish connections between Alzheimer's disease (AD)-related genomic markers and neuroimaging phenotypes to identify disease subtypes and predict clinical...

Grant Award Summary The National Institute on Aging (NIA) awarded Massachusetts General Hospital $660,000 under the Aging Research program (CFDA 93.866) on March 15, 2026, for a project titled "Deep Templates for Longitudinal Morphometry in Alzheimer's Disease." The three-year project, concluding February 28, 2029, aims to develop advanced neuroimaging analysis tools to improve the clinical diagnosis of Alzheimer's disease (AD) using non-invasive magnetic resonance imaging (MRI). The...

The National Science Foundation (NSF) awarded a $303,089 SBIR Phase I Project Grant to Bioimaginix LLC, a small business under the West Virginia University Research Corporation, to develop a low-cost artificial intelligence (AI) and machine learning (ML)-based diagnostic tool for early detection of Alzheimer's disease (AD) and mild cognitive impairment (MCI) using magnetic resonance imaging (MRI) brain scans. The goal of this project is to create an AI-ML platform that can accurately distinguish...

Grant Award Summary The National Institute on Aging (NIA) awarded The Washington University a $3.19M project grant (CFDA 93.866 – Aging Research) effective September 1, 2025, through August 31, 2029, to develop machine learning and artificial intelligence methodologies for mapping amyloid, tau, and neurodegeneration (ATN) biomarkers in relation to neuropsychiatric phenotypes and genotypes across the Alzheimer's disease continuum. The project integrates large-sample data from four major...

Federal Grant Award Summary The National Institute on Aging awarded Columbia University's Health Sciences Division a $6.9 million Project Grant under the Aging Research program (CFDA 93.866) to develop a Multi-Organ AI-Derived Endophenotype (MAE) framework for personalized assessment of Alzheimer's disease and related dementia susceptibility. The grant, effective August 1, 2025 through July 31, 2029, supports the creation of computational diagnostic and prognostic tools by consolidating and...

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 Project Grant award of $353,391.00, provided by the National Institute on Aging (CFDA 93.866 - Aging Research), aims to validate the use of a "Personal Learning Curve" paradigm as a sensitive marker of early memory decline related to Alzheimer's disease (AD) biomarkers in a large, diverse sample of older adults. The study seeks to determine if this digital cognitive assessment tool, which measures learning over repeated evaluations, can detect subtle AD-related memory failures...

Summary of Federal Project Grant Award The National Institute on Aging awarded $129,330 in Project Grant funding to Massachusetts General Hospital (The General Hospital Corporation) under the Aging Research program (CFDA 93.866) for the period June 15, 2025 through March 31, 2030. This award supports research addressing the critical challenge of early detection and accurate diagnosis of Alzheimer's Disease and Related Dementias (ADRD) through development of a machine learning-based prediction...

Federal Grant Award Summary The National Institute on Aging (NIA) awarded a Project Grant of $142,607.00 to the University of North Carolina at Chapel Hill, effective September 1, 2025, through May 31, 2030, under the Aging Research program (CFDA 93.866). Dr. Tengfei Li will develop advanced statistical and machine learning methodologies to analyze multi-center, multi-modal neuroimaging datasets for the early detection and prognosis of Alzheimer's disease (AD) and Alzheimer's disease-related...