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 $205,619 Project Grant award from the National Institute on Aging (CFDA 93.866 Aging Research) supports research to map the landscape of the aged human brain and model neurodegenerative diseases like Alzheimer's. The University of Washington will apply explainable AI methods to human brain datasets to identify molecular drivers of brain aging, then manipulate these drivers in human induced pluripotent stem cell (iPSC) models to generate aging phenotypes in neurons and glia. This two-phase...
This federal Project Grant award from the National Institute on Aging (CFDA 93.866 - Aging Research) to New York University School of Medicine provides $254,250 to develop a biologically relevant multi-scale model of brain aging using advanced diffusion MRI (dMRI) techniques. The goal is to create a brain microstructure age framework that provides insights into the processes underlying brain aging and Alzheimer's disease/related dementias (AD/ADRD). The award period runs from Sep 15, 2024 to Jun...
The federal Project Grant award R21AG087875, totaling $239,122.00, was provided by the National Institute on Aging (CFDA 93.866 - Aging Research) to Yale University. The grant supports a team science approach to integrate machine-learning models and functional genomics to study aging in the context of Alzheimer's disease. Key objectives include developing a cell-type specific regulatory network model for normal brain aging and Alzheimer's brain aging, and generating an empirical dataset to...
This $654,238 Project Grant award from the National Institute on Aging (NIA) under CFDA Program 93.866 - Aging Research supports research to investigate the role of senescent cells in brain aging and the development of Alzheimer's disease and related dementias (ADRD). The project aims to generate high-resolution spatial omics data from ADRD brains and mouse models to identify molecular changes in the microenvironment of senescent neurons compared to healthy neurons. The work will be conducted by...
This $295,000 Project Grant award from the National Institute on Aging's Aging Research program (CFDA 93.866) supports Neurogeneces, Inc., a small business, in developing a machine learning algorithm to assess "brain age" from at-home EEG sleep data. The goal is to provide an objective, interpretable measure of age-adjusted brain function that can facilitate early detection of cognitive decline. Through this Phase I Small Business Technology Transfer (STTR) project, Neurogeneces will...
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...
The National Institute on Aging (NIA) awarded a $174,242 Project Grant (R21AG087909) to the University of Wyoming to conduct research on the prefrontal microcircuit changes during aging and Alzheimer's disease (AD). The project aims to determine and predict microcircuit changes in the prefrontal cortex using a multidisciplinary approach that integrates in vivo calcium imaging, computational simulation modeling, and neural decoding. The University of Maryland, Baltimore was awarded a sub-grant...
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 federal Project Grant award from the National Institute on Aging (CFDA 93.866 - Aging Research) provides $153,056 to The Trustees of the University of Pennsylvania to investigate the neurocognitive mechanisms underlying age-related declines in episodic memory representational specificity. The project aims to: 1) identify EEG correlates of variations in episodic memory specificity within and across young and older adults, 2) leverage computational modeling to identify cognitive processes...
The National Institutes of Health's National Institute on Aging awarded $256,331.40 under the Aging Research program (CFDA 93.866) to The Trustees of the University of Pennsylvania from February to October 2021. The project aims to develop novel machine learning algorithms and biomedical software to more accurately quantify brain aging and predict the onset of neurodegenerative diseases such as Alzheimer's. Specifically, the funding will support refining predictive models of the brain-predicted age difference to reduce errors, exploring multi-modal data from the Alzheimer's Disease Neuroimaging Initiative, and creating new measures of clinically abnormal aging for use in longitudinal studies. Addressing existing biases and accounting for confounding factors, the tools developed under this award seek to provide insights into atypical aging and better forecast disease trajectories.