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

Research output: Contribution to journalReview articlepeer-review

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 to find the drug that is optimal for the patient.

Original languageEnglish
Article number4
JournalGenome Medicine
Volume12
DOIs
Publication statusPublished - 2019 Dec 31

Subject classification (UKÄ)

  • Pharmaceutical Sciences
  • Other Computer and Information Science

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