Expertise: Not specified
Tools: Not specified
LiSyM Pillar II: Chronic Liver Disease Progression (LiSyM-DP) (INRIA (French National Institute for Research in Computer Science and Control)) ; LiSyM network (INRIA (French National Institute for Research in Computer Science and Control)) ; LiSyM Pillar III: Regeneration and Repair in Acute-on-Chronic Liver Failure (LiSyM-ACLF) (INRIA (French National Institute for Research in Computer Science and Control)) ; LiSyM Scientific Leadership Team (LiSyM-LT) (INRIA (French National Institute for Research in Computer Science and Control)) ; LiSyM-Krebs Partnering (INRIA (French National Institute for Research in Computer Science and Control)) ; LiSyM Pillar II: Chronic Liver Disease Progression (LiSyM-DP) (Leibniz-Institut für Arbeitsforschung (IfADo)) ; LiSyM network (Leibniz-Institut für Arbeitsforschung (IfADo)) ; LiSyM Pillar III: Regeneration and Repair in Acute-on-Chronic Liver Failure (LiSyM-ACLF) (Leibniz-Institut für Arbeitsforschung (IfADo)) ; LiSyM Scientific Leadership Team (LiSyM-LT) (Leibniz-Institut für Arbeitsforschung (IfADo)) ; LiSyM-Krebs Partnering (Leibniz-Institut für Arbeitsforschung (IfADo)) ; Forschungsnetzwerk LiSyM-Krebs (Leibniz-Institut für Arbeitsforschung (IfADo))
Related items
- Programmes (2)
- Projects (6)
- Institutions (2)
- Investigations (0+1)
- Studies (0+1)
- Publications (17)
- Presentations (5+3)
- Documents (0+1)
LiSyM-Krebs ist ein nationales Forschungsnetz zur Früherkennung und Prävention von Leberkrebs, das unter Verwendung des systemmedizinischen Forschungsansatzes die komplexen, dynamischen Prozesse der Krankheitsprogression analysiert, um ausgehend von den Erkenntnissen aus dem Forschungsnetz LiSyM die Entstehung von Leberkrebs besser zu verstehen, vorherzusagen und im besten Fall sogar zu verhindern. LiSyM-Krebs setzt die erfolgreichen Forschungsaktivitäten der BMBF-Vorgängerprogramme ...
Projects: LiSyM-Krebs Partnering, Forschungsnetzwerk LiSyM-Krebs, SMART-NAFLD, DEEP-HCC network, C-TIP-HCC network
Web page: https://www.lisym-cancer.org
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
Organisms: Rattus norvegicus, Rattus rattus, Mus musculus, Homo sapiens
Forschungsnetzwerk zur Früherkennung und Prävention- LiSyM-Krebs
Ein Netzwerk von Klinikern, Wissenschaftlern und Datenmanagern hat sich zur Aufgabe gemacht, Methoden zu entwickeln, um Patienten mit einem hohen Risiko für ein Leberkarzinom frühzeitig, in Vorstadien der Tumorentwicklung, identifizieren zu können. Gemeinsam bilden sie das „Systemmedizinische Forschungsnetzwerk zur Früherkennung und Prävention von Leberkrebs“, LiSym-Krebs, das vom Bundesministerium für Bildung und Forschung ...
Programme: LiSyM-Krebs - Systemmedizinisches Forschungsnetz zur Früherkennung und Prävention von Leberkrebs
Public web page: Not specified
Organisms: Homo sapiens
This generic project is intended to be a forum for all LiSyM partner and external stakeholders interested in participating in the BMBF initiative LiSyM-Krebs.
Programme: LiSyM-Krebs - Systemmedizinisches Forschungsnetz zur Früherkennung und Prävention von Leberkrebs
Public web page: https://www.ptj.de/projektfoerderung/gesundheitsforschung/lisym-krebs
Organisms: Not specified
In chronic diseases, at some point the liver can suddenly stop functioning. This is called acute-on-chronic liver failure, or ACLF. This is the leading cause of death in liver patients and is often provoked by the use of transcription or freely available drugs or alcohol abuse. For this condition we need an effective treatment quickly. LiSyM-Pillar III researches the factors that contribute significantly to ACLF. What exactly happens then? Are there any early signs that would enable ACLF to be ...
Programme: LiSyM: Liver Systems Medicine
Public web page: http://www.lisym.org/our-work/pillar-research
Start date: 1st Jan 2016
Organisms: Homo sapiens, Mus musculus, Rattus norvegicus, Rattus rattus
In one in five people with NAFLD, the functioning liver cells, the hepatocytes, are replaced by connective tissue. Eventually this fibrosis becomes irreversible. In this state the liver is like a ‘scar that never heals’. Through it, the liver loses many of its vital functions. LiSyM-Pillar II wants to know more about which factors promote fibrosis and the conditions under which fibrosis becomes irreversible How can fibrosis be diagnosed as early as possible? Researchers in the pillar are also ...
Programme: LiSyM: Liver Systems Medicine
Public web page: http://www.lisym.org/our-work/pillar-research
Start date: 1st Jan 2016
Organisms: Mus musculus, Rattus rattus, Rattus norvegicus, Homo sapiens
Abstract (Expand)
Authors: A. Friebel, T. Johann, D. Drasdo, S. Hoehme
Date Published: 30th Sep 2022
Publication Type: Journal
PubMed ID: 35976110
Citation: Bioinformatics. 2022 Sep 30;38(19):4622-4628. doi: 10.1093/bioinformatics/btac547.
Abstract
Authors: Nachiket Vartak, Dirk Drasdo, Fabian Geisler, Tohru Itoh, Ronald P.J. Oude Elferink, Stan F.J. van de Graaf, John Chiang, Verena Keitel, Michael Trauner, Peter Jansen, Jan G Hengstler
Date Published: 23rd Jun 2021
Publication Type: Journal
DOI: 10.1002/hep.32027
Citation: Hepatology,hep.32027
Abstract (Expand)
Authors: N. Boissier, D. Drasdo, I. E. Vignon-Clementel
Date Published: 29th Nov 2020
Publication Type: Journal
PubMed ID: 33249746
Citation: Int J Numer Method Biomed Eng. 2020 Nov 29:e3422. doi: 10.1002/cnm.3422.
Abstract (Expand)
Authors: Nachiket Vartak, Georgia Guenther, Florian Joly, Amruta Damle‐Vartak, Gudrun Wibbelt, Jörns Fickel, Simone Jörs, Brigitte Begher‐Tibbe, Adrian Friebel, Kasimir Wansing, Ahmed Ghallab, Marie Rosselin, Noemie Boissier, Irene Vignon‐Clementel, Christian Hedberg, Fabian Geisler, Heribert Hofer, Peter Jansen, Stefan Hoehme, Dirk Drasdo, Jan G. Hengstler
Date Published: 19th Jun 2020
Publication Type: Journal
DOI: 10.1002/hep.31422
Citation: Hepatology,hep.31422
Abstract
Authors: Stefan Hoehme, Rolf Gebhardt, JG Hengstler, D. Drasdo
Date Published: 18th May 2020
Publication Type: Misc
Citation:
Creators: Tim Johann, Dirk Drasdo, Stefan Hoehme, Paul Van Liedekerke, Johannes Neitsch
Submitter: Tim Johann
Computational models complement experimental methods in the analysis of tissue organization processes, and play an increasingly important role in systems biology and systems medicine. Creating and parameterizing mathematical models for the simulation of biological tissue dynamics at multiple scales is still a complex and resource-consuming task, which necessitates skills in diverse scientific disciplines. The software TiSim was conceived to facilitate programming, integration and deployment of ...
Creators: Tim Johann, Jieling Zhao, Stefan Hoehme, Dirk Drasdo, Andreas Buttenschön, Noémie Boissier, Géraldine Cellière, Paul Van Liedekerke, Johannes Neitsch
Submitter: Tim Johann
Creators: Tim Johann, Dirk Drasdo, Ayham Zaza, Jieling Zhao, Paul Van Liedekerke
Submitter: Tim Johann