AI-Driven Multiomics Biomarkers for Precision Oncology: Navigating the Translational Gap and Regulatory Hurdles.
This review critically evaluates how advanced technologies operating in an integrated manner facilitate precision oncology by supporting fields such as genomics, transcriptomics, proteomics, metabolomics, and radiomics and provides an integrative roadmap for modern, multiomics-driven biomarker approaches in precision oncology practice.