Machine learning approaches to enhance diagnosis and staging of patients with MASLD using routinely available clinical information

Machine learning approaches to enhance diagnosis and staging of patients with MASLD using routinely available clinical information

Aims: Metabolic dysfunction Associated Steatotic Liver Disease (MASLD) outcomes such as MASH (metabolic dysfunction associated steatohepatitis), fibrosis and cirrhosis are ordinarily determined by resource-intensive and invasive biopsies. We aim to show that routine clinical tests offer sufficient i...

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Bibliographic Details
Main Authors: McTeer, M, Applegate, D, Mesenbrink, P, Ratziu, V, Schattenberg, JM, Bugianesi, E, Geier, A, Romero Gomez, M, Dufour, J, Ekstedt, M, Francque, S, Yki-Jarvinen, H, Allison, M, Valenti, L, Miele, L, Pavlides, M, Cobbold, J, Papatheodoridis, G, Holleboom, AG, Tiniakos, D, Brass, C, Anstee, QM, Missier, P
Format: Journal article
Language:English
Published: Public Library of Science 2024

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