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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CITATION STYLE
APA
Fagherazzi, G. (2020, March 1). Deep digital phenotyping and digital twins for precision health: Time to dig deeper. Journal of Medical Internet Research. JMIR Publications Inc. https://doi.org/10.2196/16770
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