Publication Name	World Journal of Stem Cells
Manuscript ID	121077
DOI	10.4252/wjsc.121077
Country	Egypt

Category	Hematology
Manuscript Type	Review
Article Title	Artificial intelligence in hematopoietic stem cell research and associated malignancies: From disease modeling to cell manufacturing
Manuscript Source	Invited Manuscript
All Author List	Heba Adel Abd El Ghaffar, Aya Mohamed Adel Arafat, Eman Hazem AbdelTawab Khattab, Mustafa Ashraf Khattab, Ahmed M Khallaf and Shirihan Mahmoud Anwar Mahgoub
Funding Agency and Grant Number
Corresponding Author	Aya Mohamed Adel Arafat, Lecturer, MD, Department of Clinical and Chemical Pathology, Faculty of Medicine, Cairo University, Al-Saray Street, Cairo 11956, Egypt. aya.arafat@kasralainy.edu.eg
Key Words	Artificial intelligence; Hematopoietic stem cells; Machine learning; Deep learning; Drug discovery; Biological products; Automation; Acute myeloid leukemia; Multiple myeloma
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.
Citation	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; In press DOI: https://doi.org/10.4252/wjsc.121077
PDF	121077-in-press.pdf

Received	2026-03-16 03:42
Peer-Review Started	2026-03-16 03:43
First Decision by Editorial Office Director	2026-04-21 09:15
Return for Revision	2026-04-21 09:15
Revised	2026-05-12 18:34
Publication Fee Transferred
Second Decision by Editor	2026-06-10 02:34
Second Decision by Editor-in-Chief
Final Decision by Editorial Office Director	2026-06-17 07:19
Articles in Press	2026-06-17 07:19
Edit the Manuscript by Language Editor
Typeset the Manuscript

ISSN	1948-0210 (online)
Open Access	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.
Copyright	©Author(s) (or their employer(s)) 2026. No commercial re-use. See Permissions. Published by Baishideng Publishing Group Inc.
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