Digital twins to personalize medicine

Digital twins to personalize medicine

Abstract Personalized medicine requires the integration and processing of vast amounts of data. Here, we propose a solution to this challenge that is based on constructing Digital Twins. These are high-resolution models of individual patients that are computationally treated with thousands of drugs...

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Bibliographic Details
Main Authors: Bergthor Björnsson, Carl Borrebaeck, Nils Elander, Thomas Gasslander, Danuta R. Gawel, Mika Gustafsson, Rebecka Jörnsten, Eun Jung Lee, Xinxiu Li, Sandra Lilja, David Martínez-Enguita, Andreas Matussek, Per Sandström, Samuel Schäfer, Margaretha Stenmarker, X. F. Sun, Oleg Sysoev, Huan Zhang, Mikael Benson, on behalf of the Swedish Digital Twin Consortium
Format: Article
Language:English
Published: BMC 2019-12-01
Series:Genome Medicine
Online Access:https://doi.org/10.1186/s13073-019-0701-3

Internet

https://doi.org/10.1186/s13073-019-0701-3

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