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Digital twins to personalize medicine
Linköping University, Department of Clinical and Experimental Medicine, Division of Surgery, Orthopedics and Oncology. Linköping University, Faculty of Medicine and Health Sciences. Region Östergötland, Center for Surgery, Orthopaedics and Cancer Treatment, Department of Surgery in Linköping.
Lund Univ, Sweden.
Linköping University, Department of Clinical and Experimental Medicine, Division of Surgery, Orthopedics and Oncology. Linköping University, Faculty of Medicine and Health Sciences.
Linköping University, Department of Clinical and Experimental Medicine, Division of Surgery, Orthopedics and Oncology. Linköping University, Faculty of Medicine and Health Sciences. Region Östergötland, Center for Surgery, Orthopaedics and Cancer Treatment, Department of Surgery in Linköping.
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2019 (English)In: Genome Medicine, ISSN 1756-994X, E-ISSN 1756-994X, Vol. 12, no 1, article id 4Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
BMC , 2019. Vol. 12, no 1, article id 4
National Category
Pharmacology and Toxicology
Identifiers
URN: urn:nbn:se:liu:diva-163024DOI: 10.1186/s13073-019-0701-3ISI: 000504988200004PubMedID: 31892363OAI: oai:DiVA.org:liu-163024DiVA, id: diva2:1384281
Note

Funding Agencies|Swedish Research CouncilSwedish Research Council; Swedish Cancer Foundation; Nordic Council; European CommissionEuropean Commission Joint Research Centre

Available from: 2020-01-09 Created: 2020-01-09 Last updated: 2020-02-14

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Björnsson, BergthorElander, NilsGasslander, ThomasGawel, DanutaGustafsson, MikaJung Lee, Eun JungLi, XinxiuLilja, SandraMartinez, DavidSandström, PerSchäfer, SamuelSun, Xiao-FengSysoev, OlegZhang, HuanBenson, Mikael
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Division of Surgery, Orthopedics and OncologyFaculty of Medicine and Health SciencesDepartment of Surgery in LinköpingDivision of Children's and Women's healthBioinformaticsFaculty of Science & EngineeringDepartment of OncologyThe Division of Statistics and Machine LearningFaculty of Arts and SciencesH.K.H. Kronprinsessan Victorias barn- och ungdomssjukhus Linköping/Motala
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