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Digital twin predicting diet response before and after long-term fasting.

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Title: Digital twin predicting diet response before and after long-term fasting.
Authors: Silfvergren O; Department of Biomedical Engineering, IMT, Linköping University, Linköping, Sweden., Simonsson C; Department of Biomedical Engineering, IMT, Linköping University, Linköping, Sweden.; Center for Medical Image Science and Visualisation, Linköping University, Linköping, Sweden., Ekstedt M; Center for Medical Image Science and Visualisation, Linköping University, Linköping, Sweden.; Department of Health, Medicine, and Caring Sciences, Linköping University, Linköping, Sweden., Lundberg P; Center for Medical Image Science and Visualisation, Linköping University, Linköping, Sweden.; Department of Medical Radiation Physics, and Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden., Gennemark P; Department of Biomedical Engineering, IMT, Linköping University, Linköping, Sweden.; Drug Metabolism and Pharmacokinetics, Research and Early Development, Cardiovascular, Renal and Metabolism (CVRM), BioPharmaceuticals R&D, AstraZeneca, Gothenburg, Sweden., Cedersund G; Department of Biomedical Engineering, IMT, Linköping University, Linköping, Sweden.; Center for Medical Image Science and Visualisation, Linköping University, Linköping, Sweden.
Source: PLoS computational biology [PLoS Comput Biol] 2022 Sep 12; Vol. 18 (9), pp. e1010469. Date of Electronic Publication: 2022 Sep 12 (Print Publication: 2022).
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101238922 Publication Model: eCollection Cited Medium: Internet ISSN: 1553-7358 (Electronic) Linking ISSN: 1553734X NLM ISO Abbreviation: PLoS Comput Biol Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Digital twin predicting diet response before and after long-term fasting.
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  Data: <searchLink fieldCode="AU" term="%22Silfvergren+O%22">Silfvergren O</searchLink>; Department of Biomedical Engineering, IMT, Linköping University, Linköping, Sweden.<br /><searchLink fieldCode="AU" term="%22Simonsson+C%22">Simonsson C</searchLink>; Department of Biomedical Engineering, IMT, Linköping University, Linköping, Sweden.; Center for Medical Image Science and Visualisation, Linköping University, Linköping, Sweden.<br /><searchLink fieldCode="AU" term="%22Ekstedt+M%22">Ekstedt M</searchLink>; Center for Medical Image Science and Visualisation, Linköping University, Linköping, Sweden.; Department of Health, Medicine, and Caring Sciences, Linköping University, Linköping, Sweden.<br /><searchLink fieldCode="AU" term="%22Lundberg+P%22">Lundberg P</searchLink>; Center for Medical Image Science and Visualisation, Linköping University, Linköping, Sweden.; Department of Medical Radiation Physics, and Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden.<br /><searchLink fieldCode="AU" term="%22Gennemark+P%22">Gennemark P</searchLink>; Department of Biomedical Engineering, IMT, Linköping University, Linköping, Sweden.; Drug Metabolism and Pharmacokinetics, Research and Early Development, Cardiovascular, Renal and Metabolism (CVRM), BioPharmaceuticals R&D, AstraZeneca, Gothenburg, Sweden.<br /><searchLink fieldCode="AU" term="%22Cedersund+G%22">Cedersund G</searchLink>; Department of Biomedical Engineering, IMT, Linköping University, Linköping, Sweden.; Center for Medical Image Science and Visualisation, Linköping University, Linköping, Sweden.
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  Data: <searchLink fieldCode="JN" term="%22101238922%22">PLoS computational biology</searchLink> [PLoS Comput Biol] 2022 Sep 12; Vol. 18 (9), pp. e1010469. <i>Date of Electronic Publication: </i>2022 Sep 12 (<i>Print Publication: </i>2022).
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