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Digital twins to personalize medicine
Bergþór Björnsson (Linköping University), Carl A K Borrebaeck (Lund University, Medicon Village), Nils Elander (Linköping University), Thomas Gasslander (Linköping University), Danuta R. Gawel (Linköping University), Mika Gustafsson (Linköping University), Rebecka J. Jörnsten (Chalmers University of Technology, University of Gothenburg), Eunjung Lee (Linköping University, Yonsei University), Xinxiu Li (Linköping University), Sandra Lilja (Linköping University), David Martínez-Enguita (Linköping University), Andreas Matussek (Karolinska University Hospital, Karolinska Institutet), Per Sandström (Linköping University), Samuel Schäfer (Linköping University), Margaretha Stenmarker (Futurum - Akademin för Hälsa och Vård), Xiao‐Feng Sun (Linköping University), Oleg Sysoev (Linköping University), Huan Zhang (Linköping University), Mikael Benson (Linköping University)
Résumé : 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.