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Accepted for/Published in: Journal of Medical Internet Research

Date Submitted: Oct 23, 2019
Date Accepted: Dec 21, 2019

The final, peer-reviewed published version of this preprint can be found here:

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

Fagherazzi G

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

J Med Internet Res 2020;22(3):e16770

DOI: 10.2196/16770

PMID: 32130138

PMCID: 7078624

Deep Digital Phenotyping And Digital Twin For Precision Medicine And Prevention: Time To Dig Deeper

  • Guy Fagherazzi

ABSTRACT

This viewpoint describes the urgent need for more large-scale deep digital phenotyping to advance towards precision health. It gives recommendations on how to combine real-world digital data with other omics features to identify someone’s digital twin and finally enter the era of patient-centered care and modify the way we consider disease management and prevention.


 Citation

Please cite as:

Fagherazzi G

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

J Med Internet Res 2020;22(3):e16770

DOI: 10.2196/16770

PMID: 32130138

PMCID: 7078624

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