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

Authors
  • Fagherazzi, Guy1
  • 1 Digital Epidemiology Hub, Strassen , (Luxembourg)
Type
Published Article
Journal
Journal of Medical Internet Research
Publisher
JMIR Publications Inc.
Publication Date
Mar 03, 2020
Volume
22
Issue
3
Identifiers
DOI: 10.2196/16770
PMID: 32130138
PMCID: PMC7078624
Source
PubMed Central
Keywords
License
Green
External links

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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