Personalized (or precision) medicine represents a major paradigm shift in healthcare, moving away from a traditional "one-size-fits-all" model toward proactive treatments tailored to an individual's unique genetic, environmental, and lifestyle profile. This transformation is driven by rapid technological advancements, though it is accompanied by significant regulatory and ethical challenges.

Technological and Scientific Drivers

• Artificial Intelligence (AI) & Machine Learning (ML): AI and ML are central to predictive medicine. These tools analyze massive datasets from electronic health records, medical imaging, and wearable sensors to identify early disease markers, predict adverse events, and optimize clinical workflows.
• Multi-Omics & Biomarkers: Integrating genomics, transcriptomics, proteomics, and metabolomics  ...