Deep Digital Phenotyping and Digital Twins for Precision Health: Time to Dig Deeper
- PMID: 32130138
- PMCID: PMC7078624
- DOI: 10.2196/16770
Deep Digital Phenotyping and Digital Twins for Precision Health: Time to Dig Deeper
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.
Keywords: big data; data lake; deep digital phenotyping; digital cohort; digital epidemiology; digital health; digital orthodoxy; digital phenotyping; digitosome; omics; personalized medicine; precision health; precision medicine; precision prevention.
©Guy Fagherazzi. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 03.03.2020.
Conflict of interest statement
Conflicts of Interest: None declared.
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References
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