Journal of Medical Internet Research (Mar 2020)

Deep Digital Phenotyping and Digital Twins for Precision Health: Time to Dig Deeper

  • Fagherazzi, Guy

DOI
https://doi.org/10.2196/16770
Journal volume & issue
Vol. 22, no. 3
p. e16770

Abstract

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This viewpoint describes the urgent need for more large-scale, deep digital phenotyping to advance toward precision health. It describes why and how to combine real-world digital data with clinical data and omics features to identify someone’s digital twin, and how to finally enter the era of patient-centered care and modify the way we view disease management and prevention.