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...
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...
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...
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 federal Project Grant award, identified as R01AG087513, was provided by the National Institute on Aging (NIA) under the Aging Research program (CFDA 93.866). The $622,401 grant aims to elucidate the causal sequence of brain biomarker changes leading to Alzheimer's disease and related dementias (ADRD), as well as identify modifiable lifestyle factors that may resist or delay disease onset. The project has three key objectives: 1) Develop novel deep learning models to predict cerebrospinal...
The National Institute on Aging (NIA), under the Aging Research Federal Grant Program (CFDA 93.866), awarded a $499,796 project grant to Clear Session, Inc. to develop a personalized digital visualization tool. The purpose is to improve communication between clinicians, Latino individuals with Alzheimer's disease and related dementias (ADRD), and their caregivers. The project aims to create a linguistically- and culturally-tailored solution that enhances healthcare conversations by breaking down...
This Project Grant award from the National Institute on Aging (CFDA 93.866 - Aging Research) provides $778,499 to the University of Texas Health Science Center at Houston to develop novel machine learning models to identify and stratify heterogeneous subpopulations of Alzheimer's disease (AD) patients based on risk and progression patterns. The goal is to transform these subtypes into potentially targetable groups to enable focused clinical trials, support future therapeutic development, and...
This Project Grant award for $820,553, provided by the National Institute on Aging (CFDA 93.866 - Aging Research), supports research to investigate long non-coding RNAs (lncRNAs) as potential therapeutic targets and biomarkers for Alzheimer's disease and related dementias. The key objectives are to: 1) assess differential lncRNA expression in postmortem brain samples to distinguish Alzheimer's, frontotemporal dementia, and control subjects; 2) define the functional roles of candidate lncRNA...
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...
This federal Project Grant award from the National Institute on Aging (CFDA 93.866 - Aging Research) provides $254,250 to New York University (NYU) School of Medicine to develop a multi-scale model of brain aging and Alzheimer's disease (AD). The project will leverage advanced diffusion MRI (dMRI) and mesoscopic MRI (meso-MRI) techniques to analyze brain microstructural changes across the lifespan and along the AD continuum. The goal is to create a brain microstructure age framework that can...