Prediction of future aging-related slow gait and its determinants with deep learning and logistic regression.

<h4>Background</h4>Identification of accelerated aging and its biomarkers can lead to more timely therapeutic interventions and decision-making. Therefore, we sought to predict aging-related slow gait, a known predictor of accelerated aging, and its determinants.<h4>Methods</h4&...

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Bibliographic Details
Main Authors: Alison Deatsch, Michael McKenna, Jonathan Palumbo, Qu Tian, Eleanor Simonsick, Luigi Ferrucci, Robert Jeraj, Richard G Spencer
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2025-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0325172
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