Digital Twins for Personalized Medicine Require Epidemiological Data and Mathematical Modeling: Viewpoint
Digital twin (DT) technology is revolutionizing clinical practice by integrating diverse epidemiological data sources to create dynamic, patient-specific simulations. By leveraging data from genomics, proteomics, imaging, sociodemographics, and real-world behaviors, DTs provide a computat...
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| Main Author: | Alexandre Vallée |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
JMIR Publications
2025-08-01
|
| Series: | Journal of Medical Internet Research |
| Online Access: | https://www.jmir.org/2025/1/e72411 |
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