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

Journal of Medical Internet Research
Guy Fagherazzi

Abstract

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.

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Citations

Jul 13, 2020·Neuropsychopharmacology : Official Publication of the American College of Neuropsychopharmacology·Lisa A Marsch
Mar 23, 2021·Journal of the American Medical Informatics Association : JAMIA·Teresa Zayas-CabánP Jon White
Mar 21, 2021·Current Opinion in Psychology·Tom Van DaeleNele A J De Witte
May 21, 2021·Frontiers in Immunology·Isabel VoigtTjalf Ziemssen
Jun 7, 2021·Journal of Translational Medicine·Dominik HartlAdrian Roth

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