Revolutionizing cancer care with machine learning: a comprehensive review

Department of Computer and Information Science, Sri Ramachandra Faculty of Pharmacy, Sri Ramachandra Institute of Higher Education and ResearchChennai, India

Sannasi, Ganapathy

Department of Computer Science and Engineering Education, National Institute of Technical Teachers’ Training & Research (NITTTR)Bhopal, India

Allan, Mark P.

Department of Pharmacy Practice, University of Massachusetts DartmouthDartmouth, USA

Nithisha, Devi

Department of Computer and Information Science, Sri Ramachandra Faculty of Pharmacy, Sri Ramachandra Institute of Higher Education and ResearchChennai, India

Suresh, A. Jerad

Department of Computer and Information Science, Sri Ramachandra Faculty of Pharmacy, Sri Ramachandra Institute of Higher Education and ResearchChennai, India

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Revolutionizing cancer care with machine learning: a comprehensive review

P. Leena Pavitha

Ganapathy Sannasi

Mark P. Allan

Devi Nithisha

A. Jerad Suresh

Artikel-Kategorie: Review

Online veröffentlicht: 19. Juli 2025

Eingereicht: 07. Feb. 2025

DOI: https://doi.org/10.2478/ijssis-2025-0037

SchlüsselwörterMachine learning, Personalized Medicine, Precision Medicine, Predicting drug efficiency, Clinical decision support systems, Cancer toxicity detection, Treatment Response

© 2025 P. Leena Pavitha et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Schlüsselwörter
Machine learning, Personalized Medicine, Precision Medicine, Predicting drug efficiency, Clinical decision support systems, Cancer toxicity detection, Treatment Response