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 [DOI: 10.4252/wjsc.118676]
Corresponding Author of This Article
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
Research Domain of This Article
Cell & Tissue Engineering
Article-Type of This Article
editorial
Open-Access Policy of This Article
This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (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/
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
Share the Article
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 [DOI: 10.4252/wjsc.118676]
World J Stem Cells. Sep 26, 2026; 18(9): 118676 Published online Sep 26, 2026. doi: 10.4252/wjsc.118676
Integration of stem cell therapy and artificial intelligence: From promise to clinical reality
Majid Ali, Mohammad Abdur Rahman, Khawaja Husnain Haider
Majid Ali, Khawaja Husnain Haider, Department of Basic Sciences, Sulaiman Al-Rajhi University, Al-Bukayriyah 51941, AlQaseem, Saudi Arabia
Mohammad Abdur Rahman, Withybush General Hospital, Haverfordwest SA61 2PZ, United Kingdom
Co-first authors: Majid Ali and Mohammad Abdur Rahman.
Author contributions: Ali M and Rahman MA did the literature search, and contributed to the writing up of the primary manuscript, they contributed equally to this manuscript and are co-first authors; Haider KH conceptualized the idea, assigned tasks, wrote and finalized the manuscript, modified the paper per the journal’s requirements, and submitted it for publication and did the revision in response to the reviewers’ comments and resubmitted.
AI contribution statement: A subscribed (paid) version of Grammarly was used to improve the readability and English language polishing of this manuscript.
Conflict-of-interest statement: All the authors report no relevant conflicts of interest for this article.
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
Received: January 9, 2026 Revised: January 30, 2026 Accepted: March 5, 2026 Published online: September 26, 2026 Processing time: 259 Days and 0.9 Hours
Core Tip
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.