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Articles Published Processes
8/7/2026 9:40:28 AM | Browse: 0 | Download: 0
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Received |
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2025-10-29 05:07 |
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Peer-Review Started |
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2025-10-29 05:07 |
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First Decision by Editorial Office Director |
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2025-12-09 06:57 |
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Return for Revision |
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2025-12-09 06:57 |
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Revised |
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2025-12-23 02:56 |
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Publication Fee Transferred |
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Second Decision by Editor |
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2026-02-03 02:40 |
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Second Decision by Editor-in-Chief |
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Final Decision by Editorial Office Director |
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2026-02-03 10:58 |
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Articles in Press |
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2026-02-03 10:58 |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2026-07-08 07:21 |
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Publish the Manuscript Online |
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2026-08-07 09:40 |
| 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: https://creativecommons.org/Licenses/by-nc/4.0/ |
| Copyright |
© The Author(s) 2026. 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 |
Oncology |
| Manuscript Type |
Correspondence |
| Article Title |
Letter to the Editor: Explainable artificial intelligence helps early cancer diagnosis via extracellular vesicle long RNA
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| Manuscript Source |
Invited Manuscript |
| All Author List |
Luis Augusto Eijy Nagai and Hui-Heng Jeremy Lin |
| ORCID |
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| Funding Agency and Grant Number |
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| Corresponding Author |
Luis Augusto Eijy Nagai, Associate Research Scientist, PhD, Institute for Biostatistics and Informatics in Medicine and Ageing Research, Rostock University Medical Center, University of Rostock, Ernst-Heydemann-Strasse 8, Rostock 18057, Mecklenburg-Vorpommern, Germany. eijynagai@gmail.com |
| Key Words |
Pancreatic ductal adenocarcinoma; Liquid biopsy; Extracellular vesicles; Long RNA; Explainable artificial intelligence; Machine learning |
| Core Tip |
Interpretable machine learning applied to extracellular vesicle long ribonucleic acid profiles is a promising direction for earlier pancreatic cancer detection and for differentiating pancreatic ductal adenocarcinoma from chronic pancreatitis. To accelerate clinical readiness, reported discrimination should be benchmarked against standard diagnostic pathways, validated across multiple centers with standardized pre-analytical processing, and accompanied by robustness checks that confirm explanation stability under realistic perturbations. |
| Publish Date |
2026-08-07 09:40 |
| Citation |
Nagai LAE, Lin HHJ. Letter to the Editor: Explainable artificial intelligence helps early cancer diagnosis via extracellular vesicle long RNA. World J Gastrointest Oncol 2026; 18(8): 115920
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| URL |
https://www.wjgnet.com/1948-5204/full/v18/i8/115920.htm |
| DOI |
https://doi.org/10.4251/wjgo.115920 |
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