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Copyright: ©Author(s) 2026. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial (CC BY-NC 4.0) license. No commercial re-use. See permissions. Published by Baishideng Publishing Group Inc.
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.

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