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Perspective Volume 17 Issue 3
Biological ageing, AI-enabled imaging, and the future of cancer prevention: a conceptual framework
Wareed Alenaini
Received: June 14, 2026 | Published: June 24, 2026
Citation: Alenaini W. Biological ageing, AI-enabled imaging, and the future of cancer prevention: a conceptual framework. J Cancer Prev Curr Res. 2026;17(3):101‒103. DOI: 10.15406/jcpcr.2026.17.00615
Abstract
Cancer prevention has traditionally focused on reducing exposure to known risk factors and detecting malignancy at its earliest clinically identifiable stage. While advances in screening have improved outcomes for several cancer types, most prevention strategies remain reactive, identifying disease after biological processes contributing to carcinogenesis have already been established. Emerging evidence suggests that alterations in metabolic health, body composition, inflammation, and biological ageing are associated with future cancer risk and may be detectable years before diagnosis. Recent developments in artificial intelligence (AI), medical imaging, and predictive analytics offer an opportunity to shift prevention upstream. Whole-body magnetic resonance imaging (MRI) can generate quantitative biomarkers related to visceral adiposity, liver fat, muscle quality, and organ morphology, while AI-enabled analysis may facilitate scalable interpretation of these data. This perspective examines the relationship between biological ageing and cancer development, explores the potential role of AI-powered imaging in precision prevention, and proposes a conceptual framework for integrating imaging-derived biomarkers into future cancer prevention pathways. As healthcare systems increasingly prioritize prevention and healthy longevity, AI-enabled risk assessment may become an important component of precision oncology.
Keywords: cancer prevention; biological ageing; whole-body MRI; artificial intelligence; precision oncology; visceral adiposity; metabolic health; imaging biomarkers
©2026 Alenaini. This is an open access article distributed under the terms of the, which permits unrestricted use, distribution, and build upon your work non-commercially.