Abd El Ghaffar HA, Arafat AMA, Khattab EHA, Khattab MA, Khallaf AM, Mahgoub SMA. Artificial intelligence in hematopoietic stem cell research and associated malignancies: From disease modeling to cell manufacturing. World J Stem Cells 2026; 18(8): 121077 [DOI: 10.4252/wjsc.121077]
Corresponding Author of This Article
Aya Mohamed Adel Arafat, MD, Lecturer, Department of Clinical and Chemical Pathology, Faculty of Medicine, Cairo University, Al-Saray Street, Cairo 11956, Egypt. aya.arafat@kasralainy.edu.eg
Research Domain of This Article
Hematology
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review-article
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Abd El Ghaffar HA, Arafat AMA, Khattab EHA, Khattab MA, Khallaf AM, Mahgoub SMA. Artificial intelligence in hematopoietic stem cell research and associated malignancies: From disease modeling to cell manufacturing. World J Stem Cells 2026; 18(8): 121077 [DOI: 10.4252/wjsc.121077]
World J Stem Cells. Aug 26, 2026; 18(8): 121077 Published online Aug 26, 2026. doi: 10.4252/wjsc.121077
Artificial intelligence in hematopoietic stem cell research and associated malignancies: From disease modeling to cell manufacturing
Heba Adel Abd El Ghaffar, Aya Mohamed Adel Arafat, Eman Hazem AbdelTawab Khattab, Mustafa Ashraf Khattab, Ahmed M Khallaf, Shirihan Mahmoud Anwar Mahgoub
Heba Adel Abd El Ghaffar, Aya Mohamed Adel Arafat, Shirihan Mahmoud Anwar Mahgoub, Department of Clinical and Chemical Pathology, Faculty of Medicine, Cairo University, Cairo 11956, Egypt
Eman Hazem AbdelTawab Khattab, Department of Clinical Pharmacy, Faculty of Pharmacy, Sinai University, Ismailia 41522, Egypt
Mustafa Ashraf Khattab, Department of Computer Science, Faculty of Media Engineering and Technology, German University in Cairo, Cairo 11835, Egypt
Ahmed M Khallaf, Department of Internal Medicine and Clinical Hematology, Faculty of Medicine, Beni-Suef University, Beni-Suef 62511, Egypt
Author contributions: Abd El Ghaffar HA, Arafat AMA, and Mahgoub SMA contributed equally to this work; Abd El Ghaffar HA, Khattab EHA, and Mahgoub SMA designed the research study; Khattab MA contributed to analytic tools; Arafat AMA, Khattab MA, and Khallaf AM wrote the manuscript; and all authors have read and approved the final manuscript.
AI contribution statement: Grammarly (Grammarly Inc.) was used solely for linguistic refinement and language polishing of the manuscript. No AI tool was involved in the generation of research content, data interpretation, or formulation of conclusions. All AI-assisted outputs were critically reviewed and revised by the authors. The authors take full responsibility for the accuracy, originality, and integrity of the manuscript.
Conflict-of-interest statement: All the authors report no relevant conflicts of interest for this article.
Corresponding author: Aya Mohamed Adel Arafat, MD, Lecturer, Department of Clinical and Chemical Pathology, Faculty of Medicine, Cairo University, Al-Saray Street, Cairo 11956, Egypt. aya.arafat@kasralainy.edu.eg
Received: March 16, 2026 Revised: May 12, 2026 Accepted: June 17, 2026 Published online: August 26, 2026 Processing time: 158 Days and 16.3 Hours
Core Tip
Core Tip: Artificial intelligence is redefining the study of hematopoietic stem cells (HSCs) by serving as a computational guide to stemness biology. Machine learning and deep learning delineate HSC fate trajectories, unravel age-dependent HSC self-renewal, and identify enriched leukemic stem cell sub-compartments that sustain treatment-resistant leukemia and relapse in acute myeloid leukemia and multiple myeloma. The same approaches expedite leukemic stem cell-targeted drug discovery, model HSC biomanufacturing for digital twins and predict transplant risk using natural language processing. High-performing artificial intelligence models are therefore quantitative surrogates for stem cell state - and span single-cell biology and decision-making across the HSC continuum.
