Choudhery MS, Arif T, Mahmood R. Applications of artificial intelligence in stem cell therapy. World J Stem Cells 2025; 17(8): 106086 [DOI: 10.4252/wjsc.v17.i8.106086]
Corresponding Author of This Article
Mahmood S Choudhery, PhD, Associate Professor, Department of Human Genetics and Molecular Biology, University of Health Sciences Lahore, Khayaban-e-Jamia Punjab, Lahore 54000, Punjab, Pakistan. ms20031@yahoo.com
Research Domain of This Article
Medicine, Research & Experimental
Article-Type of This Article
Opinion Review
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/
World J Stem Cells. Aug 26, 2025; 17(8): 106086 Published online Aug 26, 2025. doi: 10.4252/wjsc.v17.i8.106086
Applications of artificial intelligence in stem cell therapy
Mahmood S Choudhery, Taqdees Arif, Ruhma Mahmood
Mahmood S Choudhery, Taqdees Arif, Department of Human Genetics and Molecular Biology, University of Health Sciences Lahore, Lahore 54000, Punjab, Pakistan
Ruhma Mahmood, Department of Paediatric Surgery, Allama Iqbal Medical College, Lahore 54000, Punjab, Pakistan
Author contributions: Choudhery MS, Arif T, and Mahmood R conceptualized the manuscript, wrote the original version of the manuscript, prepared, designed, and modified the figures; Arif T and Mahmood R revised the manuscript; Choudhery MS critically reviewed the manuscript. All authors reviewed the manuscript, read and agreed to the final version of the manuscript.
Conflict-of-interest statement: The authors report no relevant conflicts of interest for this article.
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/
Corresponding author: Mahmood S Choudhery, PhD, Associate Professor, Department of Human Genetics and Molecular Biology, University of Health Sciences Lahore, Khayaban-e-Jamia Punjab, Lahore 54000, Punjab, Pakistan. ms20031@yahoo.com
Received: February 17, 2025 Revised: April 11, 2025 Accepted: July 10, 2025 Published online: August 26, 2025 Processing time: 187 Days and 9.1 Hours
Abstract
Stem cell therapy holds great promise for the regeneration and repair of damaged tissues and organs. Stem cell therapy has been successfully applied to treat diseases that cannot be cured with conventional medicine. A careful evaluation of the outcomes is required for successful implementation of stem cell therapy. Recently, artificial intelligence (AI) has opened new avenues for research in the stem cell therapy field. The integration of AI can assist in evaluating the quality, efficiency and safety of stem cells by analyzing available data. It has the potential to improve and accelerate progress in various aspects of stem cell research and therapeutic applications. AI is still in its infancy and has certain limitations, such as algorithm validation problems, inadequate data availability, poor data quality, and ethical considerations. Considering the potential of AI to improve stem cell research and therapeutics, this review aims to explore applications of AI in understanding stem cell behavior, identification and characterization, optimization of the delivery methods, stem cell modeling and prediction of mortality risk. In addition, this review highlights the role of AI, machine learning, deep learning, and other subtypes in advancing stem cell biology research. This review also discusses the current limitations, ethical considerations, and future prospective of use of AI in stem cell research and therapeutic applications.
Core Tip: Stem cell therapy can repair and regenerate tissues and organs, and it has been successfully applied to treat diseases that cannot be cured with traditional medicine. The integration of artificial intelligence (AI) with stem cell therapy has the potential to transform the field of regenerative medicine. AI can analyze data to evaluate quality, efficiency, and safety of stem cells. It can accelerate the progress of stem cell research and medicine. However, the AI field is still new and has challenges, including algorithm validation, data availability, poor data quality, and ethical concerns.
