Publication Name	Artificial Intelligence in Cancer
Manuscript ID	122429
DOI	10.35713/aic.122429
Country	India

Category	Oncology
Manuscript Type	Minireviews
Article Title	Artificial intelligence-driven decoding of trajectories of cancer cell plasticity: A paradigm shift in oncological assessment and treatment
Manuscript Source	Invited Manuscript
All Author List	Mansi Srivastava and Minal Garg
Funding Agency and Grant Number
Corresponding Author	Minal Garg, Full Professor, Department of Biochemistry, University of Lucknow, University Road, Lucknow 226007, Uttar Pradesh, India. garg_minal@lkouniv.ac.in
Key Words	Artificial intelligence; Cellular plasticity; Diagnostics and therapeutics; (Epi)genome and transcriptomic landscape; Tumor heterogeneity
Core Tip	Dynamic switching between cellular states generates tumoral heterogeneity as explained by stochastic and hierarchy models, and is driven by genetic and epigenetic alterations in a tumor ecosystem. Recent advancements in the applications of artificial intelligence-driven deep learning and machine learning models integrated with next-generation sequencing and single-cell RNA analysis lead to the elucidation of the changes in the trajectories of cellular plasticity. artificial intelligence-powered approaches decipher the (epi)genomic and transcriptomic landscape associated with normal, metaplastic, and pre-malignant tissues and thus help in establishing the new predictive signatures for tailored diagnosis, risk assessments, accelerating drug discovery and individualizing treatment regimens.
Citation	Srivastava M, Garg M. Artificial intelligence-driven decoding of trajectories of cancer cell plasticity: A paradigm shift in oncological assessment and treatment. Artif Intell Cancer 2026; In press DOI: https://doi.org/10.35713/aic.122429
PDF	122429-in-press.pdf

Received	2026-04-20 08:31
Peer-Review Started	2026-04-20 08:32
First Decision by Editorial Office Director
Return for Revision	2026-06-22 09:11
Revised	2026-07-02 06:51
Publication Fee Transferred
Second Decision by Editor	2026-08-14 02:39
Second Decision by Editor-in-Chief
Final Decision by Editorial Office Director	2026-08-14 09:13
Articles in Press	2026-08-14 09:13
Edit the Manuscript by Language Editor
Typeset the Manuscript

ISSN	2644-3228 (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.
Permissions	For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
Publisher	Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
Website	http://www.wjgnet.com