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Data-Driven Approaches to Modeling Heterogeneity and Variability Across Asymptomatic Brain and Cognitive Aging, Mild Cognitive Impairment, and Alzheimer’s disease
DownloadSpring 2024
Objective We apply data-driven approaches to identify predictors of heterogeneous trajectories across normal aging, Mild Cognitive Impairment (MCI), and Alzheimer’s disease (AD). In Study 1, we investigated predictors of left and right hippocampal (HC) volume trajectory classes. In Study 2, we...
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Discrete Inverse Method for Extracting Disease Transmission Rates from Accessible Infection Data
Download2024-06-01
Abstract (description taken from this, pre-print version of the article) Accurate estimation of the transmissibility of an infectious disease is critical to understanding disease transmission dynamics and designing effective control strategies. However, it has always been difficult to estimate...