Plasma Metabolomics and Machine Learning-Driven Novel Diagnostic Signature for Non-Alcoholic Steatohepatitis

Plasma Metabolomics and Machine Learning-Driven Novel Diagnostic Signature for Non-Alcoholic Steatohepatitis

We performed targeted metabolomics with machine learning (ML)-based interpretation to identify metabolites that distinguish the progression of nonalcoholic fatty liver disease (NAFLD) in a cohort. Plasma metabolomics analysis was conducted in healthy control subjects (<i>n</i> = 25) and...

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Bibliographic Details
Main Authors: Moongi Ji, Yunju Jo, Seung Joon Choi, Seong Min Kim, Kyoung Kon Kim, Byung-Chul Oh, Dongryeol Ryu, Man-Jeong Paik, Dae Ho Lee
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Biomedicines
Subjects:
nonalcoholic steatohepatitis
nonalcoholic fatty liver disease
metabolomics
machine learning
biomarkers
Online Access:https://www.mdpi.com/2227-9059/10/7/1669

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https://www.mdpi.com/2227-9059/10/7/1669

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