Deep Digital Phenotyping and Digital Twins for Precision Health: Time to Dig Deeper.
Level V
Where this comes from
- Record sourced from PubMed, PMID 32130138.
- Also identified by DOI 10.2196/16770 and PMC identifier 7078624.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
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.
Medical subject headings
- Patient-Centered Care
- Precision Medicine