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Publication Name World Journal of Stem Cells
Manuscript ID 118676
Country Saudi Arabia
Received
2026-01-09 00:52
Peer-Review Started
2026-01-09 07:28
First Decision by Editorial Office Director
2026-01-22 07:58
Return for Revision
2026-01-22 07:58
Revised
2026-01-30 15:38
Publication Fee Transferred
Second Decision by Editor
2026-03-05 02:49
Second Decision by Editor-in-Chief
Final Decision by Editorial Office Director
2026-03-05 23:03
Articles in Press
2026-03-05 23:03
Edit the Manuscript by Language Editor
Typeset the Manuscript
2026-07-11 04:20
Publish the Manuscript Online
2026-09-24 06:23
ISSN 1948-0210 (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 ©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
Permissions For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
Publisher Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
Website http://www.wjgnet.com
Category Cell & Tissue Engineering
Manuscript Type Editorial
Article Title Integration of stem cell therapy and artificial intelligence: From promise to clinical reality
Manuscript Source Invited Manuscript
All Author List Majid Ali, Mohammad Abdur Rahman and Khawaja Husnain Haider
ORCID
Author(s) ORCID Number
Khawaja Husnain Haider http://orcid.org/0000-0002-7907-4808
Funding Agency and Grant Number
Corresponding Author Khawaja Husnain Haider, PhD, Professor, Department of Basic Sciences, Sulaiman Al-Rajhi University, PO Box 777, Al-Bukayriyah 51941, AlQaseem, Saudi Arabia. khhaider@gmail.com
Key Words Artificial intelligence; Clinical translation; Machine learning; Regenerative medicine; Stem cell therapy
Core Tip Over the past two and a half decades, despite remarkable advancements in cell-based therapy, inherent limitations have hampered its full potential as a clinical therapeutic modality. These limitations should be addressed to facilitate its routine application in clinical settings. As artificial intelligence (AI) continues to transform medicine, the combinatorial approach of integrating AI into stem cell-based therapies offers an excellent opportunity to achieve the best of both worlds. This combinatorial approach promises to revolutionize stem cell research by shifting from traditional trial-and-error methodologies to sophisticated, data-driven predictive systems that analyze intricate, multidimensional datasets. These datasets encompass a wide array of biological information, including genomic, proteomic, metabolomic, and transcriptomic data, facilitating a more comprehensive understanding of treatment outcomes. Moving forward, integrating AI with stem cell-based therapy is expected to significantly improve multiple aspects while ensuring stringent safety standards and more reliable outcomes.
Publish Date 2026-09-24 06:23
Citation

Ali M, Rahman MA, Haider KH. Integration of stem cell therapy and artificial intelligence: From promise to clinical reality. World J Stem Cells 2026; 18(9): 118676

URL https://www.wjgnet.com/1948-0210/full/v18/i9/118676.htm
DOI https://doi.org/10.4252/wjsc.118676
Full Article (PDF) WJSC-18-118676-with-cover.pdf
Manuscript File 118676_Auto_Edited_031500.docx
Answering Reviewers 118676-answering-reviewers.pdf
Audio Core Tip 118676-audio.m4a
Conflict-of-Interest Disclosure Form 118676-conflict-of-interest-statement.pdf
Copyright License Agreement 118676-copyright-assignment.pdf
Non-Native Speakers of English Editing Certificate 118676-non-native-speakers.pdf
Peer-review Report 118676-peer-reviews.pdf
Scientific Misconduct Check 118676-scientific-misconduct-check.png
CrossCheck Report 118676-crosscheck-report.pdf