Digital twins to personalize medicine

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

Genome Medicine（2019）

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摘要

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 to find the drug that is optimal for the patient.

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