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8/20/2026 6:55:26 AM | Browse: 22 | Download: 24
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Received |
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2026-03-16 03:42 |
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Peer-Review Started |
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2026-03-16 03:43 |
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2026-04-21 09:15 |
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2026-04-21 09:15 |
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Revised |
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2026-05-12 18:34 |
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Publication Fee Transferred |
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Second Decision by Editor |
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2026-06-10 02:34 |
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Second Decision by Editor-in-Chief |
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Final Decision by Editorial Office Director |
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2026-06-17 07:19 |
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Articles in Press |
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2026-06-17 07:19 |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2026-07-06 09:10 |
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Publish the Manuscript Online |
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2026-08-20 06:54 |
| 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. |
| Article Reprints |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
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| Permissions |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
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| Publisher |
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA |
| Website |
http://www.wjgnet.com |
| Category |
Hematology |
| Manuscript Type |
Review |
| Article Title |
Artificial intelligence in hematopoietic stem cell research and associated malignancies: From disease modeling to cell manufacturing
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| 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 |
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| 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. |
| Publish Date |
2026-08-20 06:54 |
| 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; 18(8): 121077
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| URL |
https://www.wjgnet.com/1948-0210/full/v18/i8/121077.htm |
| DOI |
https://doi.org/10.4252/wjsc.121077 |
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