Precision Medicine in Cancer Therapy: Comparative Insights from AI-Driven Genomics and Multi-Omics Approaches
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Abstract
Precision medicine is transforming cancer therapy by enabling treatments tailored to the molecular and genetic characteristics of individual patients. Advances in artificial intelligence (AI) and multi-omics integration have improved the ability to analyze tumor heterogeneity, identify biomarkers, and predict therapeutic outcomes. This review summarizes evidence from 2015 onward on the application of AI-based genomic analysis and multi-omics approaches in cancer therapy. AI-driven genomics allows rapid interpretation of genetic variants and prioritization of therapeutic options, while multi-omics provides comprehensive biological insights to guide diagnosis and treatment decisions. Challenges include complex data integration, computational limitations, ethical concerns, and the need for clinical validation. Continued
research and standardization are essential for translating these technologies into routine oncology practice.
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