Some months ago I was posting on medicine as a data science. Now:
The foundation for a new era of data-driven medicine has been set by recent technological advances that enable the assessment and management of human health at an unprecedented level of resolution—what we refer to as high-definition medicine. Our ability to assess human health in high definition is enabled, in part, by advances in DNA sequencing, physiological and environmental monitoring, advanced imaging, and behavioral tracking. Our ability to understand and act upon these observations at equally high precision is driven by advances in genome editing, celular reprogramming, tissue engineering, and information technologies, especially artificial intelligence.This is what high definition medicine is about:
the dynamic assessment, management, and understanding of an individual’s health measured at (or near) its most basic units. It is the data-driven practice of medicine through the utilization of these highly detailed, longitudinal, and multi-parametric measures of the determinants of health to modify disease risk factors, detect disease processes early, drive precise and dynamically adjusted interventions, and determine preventative and therapeutic intervention efficacy from real-world outcomesIn this framework, precision medicine is only a small piece of the engine.
The article published in Cell by scholars from Scripps Translational Science Institute sheds light on the new perspectives of the practice of medicine, a milestone on the current knowledge of life sciences and its application.
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Catalunya, 1 d'octubre de 2017 · .
