Project Grant R01AG089806

Award Date 8/1/24
Completion Date 4/30/29
Dollars Obligated $738K
Federal Grant Program
93.866
Assistance Type
Project Grant
Place of Performance
Atlanta, GA 30322, USA
Similar Awards
The National Institute on Aging (NIA) awarded a $661,016 Project Grant (CFDA 93.866 - Aging Research) to the University of Southern California (USC) to develop a "Federated Deep Learning to Accelerate Alzheimer's Disease Research" platform. This project aims to leverage innovative artificial intelligence (AI) techniques and distributed computing to analyze Alzheimer's disease (AD) biobanks from the U.S., India, Japan, and Europe, totaling over 100,000 MRI and PET scans. The key...
The National Institute on Aging (NIA) awarded a $614,424 Project Grant (CFDA 93.866 - Aging Research) to the University of Washington to conduct research on Alzheimer's disease (AD) pathogenesis. The research aims to use novel explainable AI techniques and induced pluripotent stem cell (iPSC) models to better understand the role of microglia, the brain's immune cells, in the early stages of AD development. The project will integrate the AI approach with deep learning methods to identify subtle...
The National Institute on Aging (NIA), under the Aging Research Federal Grant Program (CFDA 93.866), awarded a $770,558 project grant to Wake Forest University Health Sciences (WFUHS) for the project "Neuroimage-Genomic Fingerprints for Subtyping and Prediction of Alzheimer's Disease and Related Dementia." The project aims to establish connections between Alzheimer's disease (AD)-related genomic markers and neuroimaging phenotypes to characterize distinctive AD subtypes and develop...
This federal Project Grant award, funded by the National Institute on Aging (CFDA 93.866 - Aging Research), aims to develop high-performing, fair, and interpretable large language models (LLMs) to detect Alzheimer's disease (AD) and its precursor stages, such as mild cognitive impairment (MCI), from transcribed unstructured speech samples. The $300,506 award, with an ultimate completion date of May 31, 2028, will focus on enhancing model fairness and interpretability, and validating the...
This federal Project Grant award from the National Institute on Aging (CFDA 93.866 - Aging Research) will provide $12,847,914 to Emory University to conduct a comprehensive study on the Alzheimer's disease (AD) and Alzheimer's-related dementias (ADRD) continuum in middle-aged South Asians in India. The study aims to: Perform multimodal AD/ADRD phenotyping and genetic characterization across the disease continuum; Investigate modifiable socio-behavioral and vascular/metabolic risk factors...
This $1,761,543 Project Grant awarded by the National Institute on Aging (CFDA 93.866 Aging Research) supports the "IDEAL-XAI: ADVANCING EXPLAINABLE AI TO IDENTIFY EARLY DRIVER EVENTS OF ALZHEIMER'S DISEASE" research project at the University of Washington. The grant aims to develop innovative explainable AI (XAI) methods that can provide biologically-informed explanations of Alzheimer's disease progression by identifying potential driver genes and mechanisms. Key objectives include...
This Project Grant award from the National Institute on Aging (CFDA 93.866 - Aging Research) to the University of Texas Health Science Center at Houston (UTHealth) aims to develop an interpretable deep learning framework to uncover cognitive resilience factors in Alzheimer's disease (AD). The $897,000 grant, awarded on August 1, 2024, will support research to 1) engineer a deep learning model to identify molecular signatures of resilience groups, and 2) model gene perturbation effects to predict...
This federal Project Grant award, valued at $6,226,692.00 and funded by the National Institute on Aging (CFDA 93.866 - Aging Research), supports research to investigate the role of neuronal hyperexcitability and proteostasis in the progression of Alzheimer's disease (AD). The study aims to track early electrophysiological changes in the locus coeruleus (LC) and hippocampus (HPC) as key brain regions impacted by the accumulation of beta-amyloid and tau proteins. The research seeks to understand...
This Project Grant award from the National Institute on Aging (CFDA 93.866 - Aging Research) provides $528,876 to Emory University to investigate the cis- and trans-genetic regulation of brain transcriptomics and proteomics associated with Alzheimer's disease and Alzheimer's disease-related dementias (AD/ADRD). The project aims to develop new analytical tools that can leverage genomic data from multiple tissues to identify additional AD risk genes and better understand their underlying molecular...
The University of Pennsylvania received a $3.2 million Project Grant award from the National Institute on Aging to develop artificial intelligence strategies for Alzheimer's disease research. The five-year award, made under the Aging Research program (CFDA 93.866), will support the creation of three novel biomedical informatics methods tailored for analyzing large-scale Alzheimer's disease data using the PennAI software platform. Specifically, the University will develop a multi-modal...

This federal Project Grant award, provided by the National Institute on Aging under CFDA 93.866 Aging Research, aims to develop explainable and ethical artificial intelligence (AI) models to assist in the diagnosis and prognosis of Alzheimer's disease (AD). The $738,014 award to Emory University, with a period of performance from August 1, 2024 to April 30, 2029, will leverage the institution's expertise in explainable AI, cerebrospinal fluid proteomics, and understanding the role of factors like race, social determinants of health, and comorbidities in AD. The goal is to create enhanced AI models that can be further developed into effective clinical decision support tools, while also advancing the understanding of AD pathophysiology. This research seeks to address the significant and growing challenge of AD, which is projected to affect 13.8 million Americans by 2050 and cost over $1.2 trillion annually in health, long-term care, and hospice services.

Generated 6/24/25, 5:01 AM