The browser you are using is not supported by this website. All versions of Internet Explorer are no longer supported, either by us or Microsoft (read more here: https://www.microsoft.com/en-us/microsoft-365/windows/end-of-ie-support).

Please use a modern browser to fully experience our website, such as the newest versions of Edge, Chrome, Firefox or Safari etc.

Carl B

Carl Borrebaeck

Professor

Carl B

Digital twins to personalize medicine

Author

  • 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
Show all

Summary, in English

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.

Department/s

  • Department of Immunotechnology
  • BioCARE: Biomarkers in Cancer Medicine improving Health Care, Education and Innovation

Publishing year

2019-12-31

Language

English

Publication/Series

Genome Medicine

Volume

12

Document type

Journal article review

Publisher

BioMed Central (BMC)

Topic

  • Pharmaceutical Sciences
  • Other Computer and Information Science

Status

Published

ISBN/ISSN/Other

  • ISSN: 1756-994X