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Deep Digital Phenotyping and Digital Twins for Precision Health: Time to Dig Deeper (Preprint)
0
Zitationen
1
Autoren
2019
Jahr
Abstract
<sec> <title>UNSTRUCTURED</title> 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. </sec>
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