Genome Medicine (Dec 2019)
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,
- on behalf of the Swedish Digital Twin Consortium
Affiliations
- Bergthor Björnsson
- Department of Surgery and Clinical and Experimental Medicine, Linköping University
- Carl Borrebaeck
- Department of Immunotechnology, Lund University
- Nils Elander
- Departments of Oncology, and Clinical and Experimental Medicine, Linköping University
- Thomas Gasslander
- Department of Surgery and Clinical and Experimental Medicine, Linköping University
- Danuta R. Gawel
- Centre for Personalized Medicine, Linköping University
- Mika Gustafsson
- Bioinformatics, Department of Physics, Chemistry and Biology, Linköping University
- Rebecka Jörnsten
- Mathematical Sciences, University of Gothenburg and Chalmers University of Technology
- Eun Jung Lee
- Centre for Personalized Medicine, Linköping University
- Xinxiu Li
- Centre for Personalized Medicine, Linköping University
- Sandra Lilja
- Centre for Personalized Medicine, Linköping University
- David Martínez-Enguita
- Bioinformatics, Department of Physics, Chemistry and Biology, Linköping University
- Andreas Matussek
- Division of Clinical Microbiology, Department of Laboratory Medicine, Karolinska Institutet, Karolinska University Hospital
- Per Sandström
- Department of Surgery and Clinical and Experimental Medicine, Linköping University
- Samuel Schäfer
- Centre for Personalized Medicine, Linköping University
- Margaretha Stenmarker
- Futurum–Academy for Health and Care, Department of Pediatrics, Region Jönköping County
- X. F. Sun
- Departments of Oncology, and Clinical and Experimental Medicine, Linköping University
- Oleg Sysoev
- Division of Statistics and Machine Learning, Department of Computer and Information Science, Linköping University
- Huan Zhang
- Centre for Personalized Medicine, Linköping University
- Mikael Benson
- Centre for Personalized Medicine, Linköping University
- on behalf of the Swedish Digital Twin Consortium
- DOI
- https://doi.org/10.1186/s13073-019-0701-3
- Journal volume & issue
-
Vol. 12,
no. 1
pp. 1 – 4
Abstract
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.
