This Project Grant award from the National Institute on Aging (CFDA 93.866 - Aging Research) provides $129,330 to The General Hospital Corporation (Massachusetts General Hospital) to conduct research on profiling and forecasting individual progression in Alzheimer's disease and related dementias (ADRD) using machine learning. The key products and services to be delivered under this 5-year award include: Deploying a multi-modal information framework that leverages decades-long in vivo and digital...
This $107,948 Project Grant award from the National Institute on Aging (CFDA 93.866 - Aging Research) aims to enhance understanding of the biological signatures that distinguish subgroups of patients with Alzheimer's disease (AD). The key goals are to: Determine if AD subtypes can be identified solely using magnetic resonance imaging (MRI)-derived features through the application of machine learning algorithms. Integrate epigenetic profiles, including small non-coding RNA expression and DNA...
This Project Grant award from the National Institute on Aging (CFDA 93.866 - Aging Research) provides $2,230,640 to the University of Texas Health Science Center at Houston to conduct research aimed at improving the understanding of the genetic architecture of Alzheimer's disease (AD) and related brain imaging data. The key objectives of the project are to: 1) develop statistical and computational frameworks for efficient genetic association mapping using identical-by-descent (IBD) segments,...
The National Institute on Aging (NIA) awarded a Project Grant (CFDA 93.866 - Aging Research) in the amount of $661,016 to the University of Southern California (USC) to develop a "Federated Deep Learning to Accelerate Alzheimer's Disease Research" project. The key products and services to be delivered include: Establishing an international "Federate AD" alliance to leverage innovative AI techniques and distributed computation to study Alzheimer's disease (AD) across large,...
This Project Grant award of $372,690 from the National Institute on Aging (NIA), under the Aging Research federal grant program (CFDA 93.866), aims to discover the heterogeneous causal pathophysiology of Alzheimer's disease (AD). The project will develop new statistical methods to uncover how amyloid-beta, tau accumulation, and cognition are causally related in different AD subpopulations. The goal is to reveal optimal treatment windows and target groups for therapies that reduce amyloid-beta or...
This Project Grant award from the National Institute on Aging (NIA) under the Aging Research program (CFDA 93.866) is providing $2,331,210 to the University of Maryland, Baltimore to develop novel analytical methods to better understand and predict post-fracture recovery trajectories in older adults living with Alzheimer's disease and related dementias (ADRD). The key products and services to be delivered include: Novel machine learning-assisted methods to identify unique patient characteristics...
This Project Grant award from the National Institute on Aging (CFDA 93.866 - Aging Research) provides $654,238 to The University of Texas Health Science Center at San Antonio to study the role of senescent cells in Alzheimer's disease and related dementias (ADRD). The primary goals are to: Identify molecular markers and changes in the microenvironment of senescent neurons compared to healthy neurons, with a focus on their contribution to neuronal death in brain aging and ADRD (R21 phase). Use...
This federal Project Grant award from the National Institute on Aging (NIA), under the Aging Research program (CFDA 93.866), provides $817,357 to the J. David Gladstone Institutes to develop advanced machine learning approaches for comprehensive behavioral and brain signal analysis in humanized Alzheimer's disease mouse models. The key products and services to be delivered include: Validating a machine learning platform called Variational Animal Motion Embedding (VAME) for high-resolution...
This Project Grant award of $762,636 from the National Institute on Aging (NIA), under the Aging Research program (CFDA 93.866), supports the development of interpretable machine learning methods for analyzing Alzheimer's disease genetics. The research aims to improve understanding of the complex genetic basis of Alzheimer's disease and identify novel therapeutic targets. Key objectives include applying advanced machine learning techniques to large-scale genetic and multi-omics datasets, while...
This Project Grant award from the National Institute on Aging (CFDA 93.866 - Aging Research) for $791,086 aims to develop computational models that can predict the presence of non-Alzheimer's disease neuropathological changes, such as Lewy body disease, TDP-43 proteinopathy, and cerebral amyloid angiopathy, in individuals with Alzheimer's disease neuropathological changes. The project will leverage data from autopsy-confirmed datasets, in vivo neuroimaging, and clinical assessments to build...