In 2025, the convergence of genomic and multi-omic data integration is driving a paradigm shift toward "Preventive Medicine 2.0," moving healthcare from reactive symptom management to proactive disease interception. This approach leverages Artificial Intelligence (AI) to synthesize vast datasets—spanning genomics, proteomics, metabolomics, and spatial phenotyping—to detect disease at its molecular origins and tailor prevention strategies.

Genomic Risk Stratification and PRS Polygenic Risk Scores (PRS) have emerged as a critical tool for quantifying inherited risk by aggregating the effects of thousands of genetic variants. In cardiovascular medicine, integrating PRS with traditional clinical tools (like the PREVENT calculator) significantly improves risk prediction accuracy. This allows for the identification of "invisible" high-risk indivi ...