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; Swedish Digital Twin Consortium

doi:10.1186/s13073-019-0701-3

Digital twins to personalize medicine

Genome Med. 2019 Dec 31;12(1):4. doi: 10.1186/s13073-019-0701-3.

Authors

Bergthor Björnsson¹, Carl Borrebaeck², Nils Elander³, Thomas Gasslander¹, Danuta R Gawel⁴, Mika Gustafsson⁵, Rebecka Jörnsten⁶, Eun Jung Lee^{4

7}, Xinxiu Li⁴, Sandra Lilja⁴, David Martínez-Enguita⁵, Andreas Matussek^{8

9}, Per Sandström¹, Samuel Schäfer⁴, Margaretha Stenmarker^{10

11}, X F Sun³, Oleg Sysoev¹², Huan Zhang⁴, Mikael Benson^{13

14

15}; Swedish Digital Twin Consortium

Affiliations

¹ Department of Surgery and Clinical and Experimental Medicine, Linköping University, 581 83, Linköping, Sweden.
² Department of Immunotechnology, Lund University, Medicon Village, Scheelevägen, Lund, Sweden.
³ Departments of Oncology, and Clinical and Experimental Medicine, Linköping University, 581 83, Linköping, Sweden.
⁴ Centre for Personalized Medicine, Linköping University, 581 83, Linköping, Sweden.
⁵ Bioinformatics, Department of Physics, Chemistry and Biology, Linköping University, 581 83, Linköping, Sweden.
⁶ Mathematical Sciences, University of Gothenburg and Chalmers University of Technology, 412 96, Gothenburg, Sweden.
⁷ Department of Otorhinolaryngology, Yonsei University College of Medicine, Seoul, South Korea.
⁸ Division of Clinical Microbiology, Department of Laboratory Medicine, Karolinska Institutet, Karolinska University Hospital, 141 52 Huddinge, Stockholm, Sweden.
⁹ Department of Laboratory Medicine, Region Jönköping County, Jönköping, Sweden.
¹⁰ Futurum-Academy for Health and Care, Department of Pediatrics, Region Jönköping County, Jönköping, Sweden.
¹¹ Department of Pediatrics, Institution for Clinical Sciences, 413 90, Göteborg, Sweden.
¹² Division of Statistics and Machine Learning, Department of Computer and Information Science, Linköping University, 581 83, Linköping, Sweden.
¹³ Centre for Personalized Medicine, Linköping University, 581 83, Linköping, Sweden. mikael.benson@liu.se.
¹⁴ Crown Princess Victoria Children's Hospital, 581 85, Linköping, Sweden. mikael.benson@liu.se.
¹⁵ Wallenberg Centre for Molecular Medicine, Linköping University, 581 83, Linköping, Sweden. mikael.benson@liu.se.

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.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Databases, Factual
Disease / genetics
Humans
Neural Networks, Computer
Precision Medicine*