SEEK ID: https://seek.lisym.org/people/121
Location: Germany
ORCID: Not specified
Joined: 1st Apr 2019
Expertise: Not specified
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Liver Systems Medicine : striving to develop non-invasive methods for diagnosing and treating NAFLD by combining mathematical modeling and biological research. LiSyM, is a multidisciplinary research network, in which molecular and cell biologists, clinical researchers, pharmacologists and experts in mathematical modeling examine the liver in its entirety. LiSyM research focuses on the metabolic liver disease non-alcoholic fatty liver disease (NAFLD), which includes non-alcoholic steatohepatitis ...
Projects: LiSyM Core Infrastructure and Management (LiSyM-PD), LiSyM Pillar I: Early Metabolic Injury (LiSyM-EMI), LiSyM Pillar II: Chronic Liver Disease Progression (LiSyM-DP), LiSyM Pillar III: Regeneration and Repair in Acute-on-Chronic Liver Failure (LiSyM-ACLF), LiSyM Pillar IV: Liver Function Diagnostics (LiSyM-LiFuDi), Model Guided Pharmacotherapy In Chronic Liver Disease (LiSyM-MGP), Molecular Steatosis - Imaging & Modeling (LiSyM-MSIM), The Hedgehog Signalling Pathway (LiSyM-JGMMS), Multi-Scale Models for Personalized Liver Function Tests (LiSyM-MM-PLF), LiSyM PALs, Project Management PTJ, LiSyM network, LiSyM Scientific Leadership Team (LiSyM-LT)
Web page: https://www.lisym.org/
Disorders of the liver show up through changes in blood tests. These blood tests indicate markers for events taking place in the liver. Usually studies of liver tissue cannot be performed: as liver samples would need to be obtained through a liver biopsy, and this procedure is not without risk, therefore these samples are usually unavailable. Complex metabolism models based on existing and new scientific data can simulate changes in the liver caused by disease. They often reveal unknown relationships ...
Programme: LiSyM: Liver Systems Medicine
Public web page: http://www.lisym.org/our-work/pillar-research/the-liver-is-very-patient
Start date: 1st Jan 2016
Organisms: Homo sapiens
Abstract (Expand)
Authors: M. Shahryari, T. Meyer, C. Warmuth, H. Herthum, G. Bertalan, H. Tzschatzsch, L. Stencel, S. Lukas, L. Lilaj, J. Braun, I. Sack
Date Published: 26th Oct 2020
Publication Type: Journal
PubMed ID: 33104294
Citation: Magn Reson Med. 2020 Oct 26. doi: 10.1002/mrm.28558.
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Authors: M. Shahryari, H. Tzschatzsch, J. Guo, S. R. Marticorena Garcia, G. Boning, U. Fehrenbach, L. Stencel, P. Asbach, B. Hamm, J. A. Kas, J. Braun, T. Denecke, I. Sack
Date Published: 15th Nov 2019
Publication Type: Not specified
PubMed ID: 31551364
Citation: Cancer Res. 2019 Nov 15;79(22):5704-5710. doi: 10.1158/0008-5472.CAN-19-2150. Epub 2019 Sep 24.
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Authors: S. Keller, J. Chapiro, J. Brangsch, C. Reimann, F. Collettini, I. Sack, L. J. Savic, B. Hamm, S. N. Goldberg, M. Makowski
Date Published: 12th Nov 2019
Publication Type: Not specified
PubMed ID: 31713973
Citation: J Magn Reson Imaging. 2019 Nov 12. doi: 10.1002/jmri.26968.
Abstract (Expand)
Authors: S. R. Marticorena Garcia, B. Hamm, I. Sack
Date Published: 26th Aug 2019
Publication Type: Not specified
PubMed ID: 31451472
Citation: BMJ Case Rep. 2019 Aug 26;12(8). pii: 12/8/e230791. doi: 10.1136/bcr-2019-230791.