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Articles Published Processes
11/14/2025 12:56:16 AM | Browse: 1 | Download: 0
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Received |
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2025-07-07 08:10 |
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Peer-Review Started |
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2025-07-07 08:10 |
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To Make the First Decision |
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Return for Revision |
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2025-07-28 07:25 |
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Revised |
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2025-08-07 16:38 |
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Second Decision |
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2025-10-09 02:32 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2025-10-09 06:20 |
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Articles in Press |
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2025-10-09 06:20 |
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Publication Fee Transferred |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2025-10-27 02:47 |
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Publish the Manuscript Online |
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2025-11-14 00:56 |
| ISSN |
1948-5204 (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: http://creativecommons.org/Licenses/by-nc/4.0/ |
| Copyright |
© The Author(s) 2025. Published by Baishideng Publishing Group Inc. All rights reserved. |
| 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 |
Basic Study |
| Article Title |
Early cancer diagnosis via interpretable two-layer machine learning of plasma extracellular vesicle long RNA
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| Manuscript Source |
Invited Manuscript |
| All Author List |
Shi-Cai Liu and Han Zhang |
| ORCID |
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| Funding Agency and Grant Number |
| Funding Agency |
Grant Number |
| Talent Scientific Research Start-up Foundation of Wannan Medical College |
WYRCQD2023045 |
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| Corresponding Author |
Shi-Cai Liu, PhD, School of Medical Information, Wannan Medical College, No. 22 Wenchang West Road, Wuhu 241002, Anhui Province, China. liushicainj@163.com |
| Key Words |
Pancreatic ductal adenocarcinoma; Extracellular vesicle long RNA; Noninvasive early diagnosis; Interpretable machine learning; Two-layer classifier |
| Core Tip |
The early diagnosis rate of pancreatic ductal adenocarcinoma is low and the prognosis is poor. It is important to develop an interpretable noninvasive early diagnostic model in clinical practice. In this study, an interpretable two-layer machine learning framework was proposed for the early diagnosis and prediction of pancreatic ductal adenocarcinoma based on plasma extracellular vesicle long RNA. This study provides new insights into the clinical value of extracellular vesicle long RNA for promoting the development of precision medicine. |
| Publish Date |
2025-11-14 00:56 |
| Citation |
<p>Liu SC, Zhang H. Early cancer diagnosis via interpretable two-layer machine learning of plasma extracellular vesicle long RNA. <i>World J Gastrointest Oncol</i> 2025; 17(11): 111670</p> |
| URL |
https://www.wjgnet.com/1948-5204/full/v17/i11/111670.htm |
| DOI |
https://dx.doi.org/10.4251/wjgo.v17.i11.111670 |
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