Publication Name	World Journal of Gastroenterology
Manuscript ID	120151
Country	China

Category	Gastroenterology & Hepatology
Manuscript Type	Opinion Review
Article Title	Realizing personalized prediction for the reversal of chronic hepatitis B-associated liver fibrosis through machine learning
Manuscript Source	Invited Manuscript
All Author List	Shi-Cai Liu, Zi-Wen Wang and Han Zhang
Funding Agency and Grant Number	Funding Agency Grant Number Scientific Research Project of Anhui Provincial Department of Education No. 2025AHGXZK30665 Talent Scientific Research Start-up Foundation of Wannan Medical College No. WYRCQD2023045
Corresponding Author	Shi-Cai Liu, PhD, School of Medical Information, Wannan Medical University, No. 22 Wenchang West Road, Wuhu 241002, Anhui Province, China. liushicainj@163.com
Key Words	Machine learning; Chronic hepatitis B; Liver fibrosis reversal; Personalized prediction; Clinical translation
Core Tip	Predicting liver fibrosis reversal in chronic hepatitis B remains a major clinical challenge due to the limitations of conventional assessment tools. Leveraging machine learning-driven histopathological image analysis and multimodal data fusion, enhances the accuracy and individualization of predicting treatment response during antiviral therapy. Integrating quantitative pathological features, clinical parameters, and proteomic biomarkers into unified machine learning frameworks optimizes early identification of non-responders, supports personalized therapeutic decision-making for chronic hepatitis B patients.
Citation	Liu SC, Wang ZW, Zhang H. Realizing personalized prediction for the reversal of chronic hepatitis B-associated liver fibrosis through machine learning. World J Gastroenterol 2026; In press

Received	2026-02-24 01:22
Peer-Review Started	2026-02-24 01:22
First Decision by Editorial Office Director	2026-03-13 10:27
Return for Revision	2026-03-13 10:27
Revised	2026-03-30 07:58
Publication Fee Transferred
Second Decision by Editor	2026-04-14 02:38
Second Decision by Editor-in-Chief
Final Decision by Editorial Office Director	2026-04-14 07:01
Articles in Press	2026-04-14 07:01
Edit the Manuscript by Language Editor
Typeset the Manuscript

ISSN	1007-9327 (print) and 2219-2840 (online)
Open Access	This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial (CC BY-NC 4.0) license. No commercial re-use. See Permissions. Published by Baishideng Publishing Group Inc.
Copyright	©Author(s) (or their employer(s)) 2026. No commercial re-use. See Permissions. Published by Baishideng Publishing Group Inc.
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