A unified framework for prediction of liver steatosis dynamics in response to different diet and drug interventions.
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| Title: | A unified framework for prediction of liver steatosis dynamics in response to different diet and drug interventions. |
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| Authors: | Simonsson C; Department of Biomedical Engineering, Linköping University, Linköping, Sweden; Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden; Department of Radiation Physics, Radiology, Department of Medical and Health Sciences, Linköping University, Linköping, Sweden., Nyman E; Department of Biomedical Engineering, Linköping University, Linköping, Sweden., Gennemark P; Department of Biomedical Engineering, Linköping University, Linköping, Sweden; Drug Metabolism and Pharmacokinetics, Research and Early Development, Cardiovascular, Renal and Metabolism (CVRM), BioPharmaceuticals R&D, AstraZeneca, Gothenburg, Sweden., Gustafsson P; Department of Biomedical Engineering, Linköping University, Linköping, Sweden; Department of Media and Information Technology, Linköping University, Norrköping, Sweden., Hotz I; Department of Media and Information Technology, Linköping University, Norrköping, Sweden., Ekstedt M; Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden; Department of Gastroenterology and Hepatology, Department of Health, Medicine and Caring Sciences, Linköping University, Sweden., Lundberg P; Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden; Department of Radiation Physics, Radiology, Department of Medical and Health Sciences, Linköping University, Linköping, Sweden., Cedersund G; Department of Biomedical Engineering, Linköping University, Linköping, Sweden; Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden. Electronic address: gunnar.cedersund@liu.se. |
| Source: | Clinical nutrition (Edinburgh, Scotland) [Clin Nutr] 2024 Jun; Vol. 43 (6), pp. 1532-1543. Date of Electronic Publication: 2024 May 09. |
| Publication Type: | Journal Article; Validation Study; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Elsevier Country of Publication: England NLM ID: 8309603 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1532-1983 (Electronic) Linking ISSN: 02615614 NLM ISO Abbreviation: Clin Nutr Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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