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

Overview

Journal J Med Internet Res

Publisher JMIR Publications

Specialty Medical Informatics

Date 2020 Mar 5

PMID 32130138

Citations 22

Authors

Guy Fagherazzi

Affiliations

Soon will be listed here.

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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