REVIEW article
Front. Oncol.
Sec. Molecular and Cellular Oncology
Volume 15 - 2025 | doi: 10.3389/fonc.2025.1608712
Application of artificial intelligence-based stemness index in cancer
Provisionally accepted
- The Affiliated Hospital of Southwest Medical University, Luzhou, China
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Cancer stem cells (CSCs) exhibit self-renewal and multidirectional differentiation capacities. The stemness of CSCs is the fundamental cause of tumor progression and treatment resistance. The stemness index, evaluating the number and activity of CSCs, is a crucial indicator predicting various aspects of tumor behavior such as growth, metastasis, and prognosis. With the advancements in artificial intelligence (AI), particularly in data analysis and machine learning, the identification and understanding of CSCs' stemness characteristics have improved. The AI-based analysis allows for processing vast datasets and recognizing patterns that assist in comprehending the role of CSCs in cancer development. The utilization of AI to analyze and compute the stemness index holds significant clinical relevance in tumor diagnosis and treatment. This approach provides more precise and personalized information, potentially influencing treatment strategies. Therefore, tailoring treatments specifically targeting CSCs is highly imperative and may enhance therapeutic efficacy and outcomes in cancer patients.
Keywords: cancer stem cells, artificial intelligence, MDNAsi, mRNAsi, Stemness
Received: 09 Apr 2025; Accepted: 22 Jul 2025.
Copyright: © 2025 Pei, Liu, Chen, Li, Luo, Xian, Du and Ye. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Ting Ye, The Affiliated Hospital of Southwest Medical University, Luzhou, China
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