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Articles Published Processes
9/22/2026 3:20:34 AM | Browse: 1 | Download: 0
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Received |
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2026-02-24 01:22 |
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Peer-Review Started |
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2026-02-24 01:22 |
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First Decision by Editorial Office Director |
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2026-03-13 10:27 |
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Return for Revision |
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2026-03-13 10:27 |
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Revised |
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2026-03-30 07:58 |
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Publication Fee Transferred |
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Second Decision by Editor |
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2026-04-14 02:38 |
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Second Decision by Editor-in-Chief |
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Final Decision by Editorial Office Director |
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2026-04-14 07:01 |
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Articles in Press |
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2026-04-14 07:01 |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2026-09-21 13:04 |
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Publish the Manuscript Online |
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2026-09-22 03:20 |
| 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. |
| Article Reprints |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
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| Permissions |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
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| Publisher |
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA |
| Website |
http://www.wjgnet.com |
| 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
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| Manuscript Source |
Invited Manuscript |
| All Author List |
Shi-Cai Liu, Zi-Wen Wang and Han Zhang |
| ORCID |
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| 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 |
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| 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. |
| Publish Date |
2026-09-22 03:20 |
| 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; 32(42): 120151
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| URL |
https://www.wjgnet.com/1007-9327/full/v32/i42/120151.htm |
| DOI |
https://doi.org/10.3748/wjg.120151 |
Copyright © 1993-2026 Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA. All rights reserved, including rights relating to text and data mining, AI training, and similar technologies. For open-access content, the applicable copyright and licensing terms govern.
