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Machine Learning and Emerging Technologies in Cancer Care
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Author(s): Muhammad Aasim Rafique (Department of Information Systems, College of Computer Sciences and Information Technology, King Faisal University, Al Ahsa, Saudi Arabia)and Qazi Mudassar Ilyas (Universiti Islam Sultan Sharif Ali, Brunei)
Copyright: 2026
Pages: 30
Source title:
AI and Machine Learning for Cancer Care: Precision Medicine and Beyond
Source Author(s)/Editor(s): Manvi Mishra (Shri Ram Murti Smarak College of Engineering and Technology, Bareilly, India), Piyush Kumar (Shri Ram Murti Smarak Institute of Medical Sciences, Bareilly, India), Himanshi Khattar (Shri Ram Murti Smarak Institute of Medical Sciences, Bareilly, India)and Mohammad Zubair Khan (Islamic University of Madinah, Saudi Arabia)
DOI: 10.4018/979-8-3373-4312-9.ch009
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Abstract
Cancer is the second-leading global cause of death (>10M/year), posing complex economic and social burdens. Current treatments—conventional (chemo, radio) and advanced (targeted, immuno)—are limited by high cost, toxicity, lack of precision, and unpredictable patient response . An urgent paradigm shift requires leveraging Artificial Intelligence (AI) and Machine Learning (ML). AI/ML drives breakthroughs in the entire oncological care pathway: enabling precise diagnosis, robust prognosis, and individualized prediction of therapeutic response via multi-omics analysis. The future of oncology must be defined by AI-powered precision to solve the problem of variable efficacy and achieve universal access to effective care.
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