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. |
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| 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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| ISSN: | 1553-7358 |
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| DOI: | 10.1371/journal.pcbi.1010469 |
