
How genomics and data science are reshaping personalized medicine and clinical trial design
Personalized medicine aims to tailor prevention, diagnosis, and treatment to the unique biological, environmental, and lifestyle characteristics of each patient. Over the past decade, this approach has moved from concept to practice, reshaping how therapies are developed and how clinical trials are designed. Advances in genomics, data science, and digital health are accelerating this transformation, while regulatory agencies and healthcare systems adapt to support more precise and patient-centered research models.Genomics and Multi-Omics as Foundational DriversThe steep drop in genome sequencing costs, paired with the expanding use of multi-omics approaches, has significantly transformed personalized medicine.Genomics: Through whole-genome and exome sequencing, researchers…



