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Articles in Press
1/12/2026 4:06:19 AM | Browse: 2 | Download: 0
| Category |
Medical Informatics |
| Manuscript Type |
Review |
| Article Title |
Synergistic applications of artificial intelligence and organoid technology in gastric precancerous lesion research: Mechanisms, translation, and challenges
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| Manuscript Source |
Invited Manuscript |
| All Author List |
Chen-Heng Wu, Jun-Xin Qiu, Yue-Bo Jia, Yi Quan, Chang Liu and Jiang-Hong Ling |
| Funding Agency and Grant Number |
| Funding Agency |
Grant Number |
| National TCM Advantageous Specialty Project of National Administration of Traditional Chinese Medicine |
State Medical Letter on Chinese Medicine [2024]90 |
| Shuguang Hospital Siming Foundation Research Special Project |
SGKJ-202304 |
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| Corresponding Author |
Jiang-Hong Ling, Department of Gastroenterology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, No. 528 Zhangheng Road, Shanghai 201203, China. ljh18817424778@163.com |
| Key Words |
Gastric precancerous lesions; Artificial intelligence; Organoids; Integrative research; Precision medicine |
| Core Tip |
We propose a transformative paradigm: Using artificial intelligence to decipher dynamic organoid phenotypes for forecasting gastric cancer (GC) risk. This review details how this synergy, which integrates high-throughput organoid screening with multimodal clinical data, unlocks the “black box” of disease progression. It empowers a shift from reactive diagnosis to proactive, mechanism-based precision prevention, ultimately pioneering a new era where GC is preemptively intercepted rather than treated. |
| Citation |
Wu CH, Qiu JX, Jia YB, Quan Y, Liu C, Ling JH. Synergistic applications of artificial intelligence and organoid technology in gastric precancerous lesion research: Mechanisms, translation, and challenges. Artif Intell Cancer 2026; In press |
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Received |
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2025-09-15 07:53 |
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Peer-Review Started |
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2025-09-15 07:53 |
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First Decision by Editorial Office Director |
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2025-09-23 09:40 |
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Return for Revision |
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2025-09-23 09:40 |
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Revised |
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2025-10-06 21:34 |
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Publication Fee Transferred |
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Second Decision by Editor |
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2026-01-12 02:39 |
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Second Decision by Editor-in-Chief |
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Final Decision by Editorial Office Director |
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2026-01-12 04:06 |
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Articles in Press |
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2026-01-12 04:06 |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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| ISSN |
2644-3228 (online) |
| Open Access |
This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/ |
| Copyright |
© The Author(s) 2026. Published by Baishideng Publishing Group Inc. All rights reserved. |
| 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 |
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