Precision medicine in the era of multi-omics: can the data tsunami guide rational treatment decision?

Precision medicine for cancer is rapidly moving to an approach that integrates multiple dimensions of the biology in order to model mechanisms of cancer progression in each patient. The advent of abundant complex biological data will make artificial intelligence algorithms indispensable for thorough analysis.

⚡ This is an original paraphrased summary — not copied from the abstract. Full paper available at the source link below.

• 1 The discovery of multiple drivers per tumor challenges medical decision that faces several treatment options.
• 2 Drug sensitivity depends on the actionability of the target, its clonal or subclonal origin and coexisting genomic alterations.
• 3 Sequencing has revealed a large diversity of drivers emerging at treatment failure, which are potential targets for clinical trials or drug repurposing.

Understanding this could lead to better treatments, improved diagnostics, or a deeper grasp of how the human body works — benefiting patient care globally.

This summary is based on publicly available metadata and abstract. For the full research paper, visit the original source: