Proteomics and machine learning in the prediction and explanation of low pectoralis muscle area

Proteomics and machine learning in the prediction and explanation of low pectoralis muscle area

Abstract Low muscle mass is associated with numerous adverse outcomes independent of other associated comorbid diseases. We aimed to predict and understand an individual’s risk for developing low muscle mass using proteomics and machine learning. We identified eight biomarkers associated with low pe...

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Bibliographic Details
Main Authors: Nicholas A. Enzer, Joe Chiles, Stefanie Mason, Toru Shirahata, Victor Castro, Elizabeth Regan, Bina Choi, Nancy F. Yuan, Alejandro A. Diaz, George R. Washko, Merry-Lynn McDonald, Raúl San José Estépar, Samuel Y. Ash, COPDGene Study Consortium
Format: Article
Language:English
Published: Nature Portfolio 2024-08-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-024-68447-y

Internet

https://doi.org/10.1038/s41598-024-68447-y

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