SBMC2018-Poster: Systemic transcriptomic characterization of slow and fast liver fibrosis progression in mice Version 1
SEEK ID: https://seek.lisym.org/presentations/121?version=1
Filename: SBMC18-32_Hammad_et_al_2018_Final_print1.pdf
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Created: 7th Jul 2018 at 19:09
Last updated: 7th Jul 2018 at 19:09
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Version 1 (earliest) Created 7th Jul 2018 at 19:09 by Seddik Hammad
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Projects: LiSyM Pillar II: Chronic Liver Disease Progression (LiSyM-DP), LiSyM Pillar III: Regeneration and Repair in Acute-on-Chronic Liver Failure (LiSyM-ACLF), LiSyM network, LiSyM PALs, LiSyM-Krebs Partnering, C-TIP-HCC network
Institutions: Molecular Hepatology - Dept of Medicine II - Medical Faculty Mannheim - Heidelberg University
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/
This comprises the whole LiSyM network
Programme: LiSyM: Liver Systems Medicine
Public web page: http://www.lisym.org
Start date: 1st Jan 2016
The overarching integrating power of computational modelling, from systems biology to systems medicine
Country: Not specified
City: Bremen
