The University of North Carolina at Chapel Hill will develop computational tools to harmonize multi-site neuroimaging data and enable personalized analysis of subjective cognitive decline and Alzheimer's disease-related disorders through a $2.8 million project grant from the National Institute on Aging.
Under the award effective May 1, 2022, UNC-Chapel Hill will create machine learning frameworks for feature-level and image-level harmonization of data from 79 imaging centers involving over 5,300 subjects. They will also develop a modality fusion framework to integrate magnetic resonance imaging, positron emission tomography, and cerebrospinal fluid data without discarding subjects missing certain modalities. Additionally, UNC-Chapel Hill will provide scalable neuroimage search capabilities to facilitate subject-specific progression prediction. These tools are intended to support the National Institute on Aging's Aging Research program (CFDA 93.866) by enabling more robust multi-site studies and personalized analysis approaches for understanding aging and age-related conditions.
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