GAFAD: An LC-MS/MS–Based Model for Early Hepatocellular Carcinoma Detection Beyond GALAD’s Limitation

GAFAD provides a reliable and generalizable tool for early HCC detection across diverse etiologies, supporting its clinical applicability in surveillance and diagnosis.

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Publication Details

Journal
Clinical and Molecular Hepatology
Published
2026-02-25
DOI
https://doi.org/10.3350/cmh.2025.1244
Primary Topic
Advanced Proteomics Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

GAFAD: An LC-MS/MS–Based Model for Early Hepatocellular Carcinoma Detection Beyond GALAD’s Limitation

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Advanced Proteomics Techniques and Applications
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GAFAD: An LC-MS/MS–Based Model for Early Hepatocellular Carcinoma Detection Beyond GALAD’s Limitation

Juri Park, Soon Sun Kim, Won Suk Yang, Wonseok Oh, Je-Hyun Baek, Hyojin Kim, Jae Youn Cheong, Saeyoung Lee
article en

Abstract

GAFAD provides a reliable and generalizable tool for early HCC detection across diverse etiologies, supporting its clinical applicability in surveillance and diagnosis.

Clinical and Molecular Hepatology
Ajou University (KR)
Keimyung University, Ajou University
Openalex Percentile: Top 44%
Advanced Proteomics Techniques and Applications
DOIOpen Access PDFOpenAlex
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