Chronic Liver Disease Progression (LiSyM-DP - Pillar II) (INRIA (French National Institute for Research in Computer Science and Control)) ; LiSyM network (INRIA (French National Institute for Research in Computer Science and Control)) ; Regeneration and Repair in Acute-on-Chronic Liver Failure (LiSyM-ACLF - Pillar III) (INRIA (French National Institute for Research in Computer Science and Control)) ; LiSyM Scientific Leadership Team (INRIA (French National Institute for Research in Computer Science and Control))
Day-to-day science within the LiSyM is overseen and directed by the the LiSyM Scientific Leadership Team. This coordination team comprises the pillar coordinators and additional LiSyM members, and ensures smooth interaction between multi-skilled groups, often working in different institutions and across significant distances within Germany.
Public web page: http://www.lisym.org/governance
Organisms: Not specified
The incidence of this life-threatening acute-on-chronic liver failure (ACLF) is increasing, and early detection and cure are urgent clinical needs. Pillar III applies a Systems Medicine approach to identify the critical mechanisms of acute-on-chronic liver failure (ACLF) and to foster liver regeneration and repair.
Public web page: Not specified
Organisms: Not specified
Chronic liver diseases (CLD) progression leads to cirrhosis, often cancer, and ultimately to organ failure and death. Because of the complexity of this scenario, a Systems Medicine approach is chosen to develop strategies to better characterize progression and resolution of fibrosis. Pillar II aims to define key molecular mechanisms and structural changes in tissue architecture during the progression of CLD by visualizing and quantifying at a cellular level, tissue and organ scale.
Authors: Ahmed Ghallab, Ute Hofmann, Selahaddin Sezgin, Nachiket Vartak, Reham Hassan, Ayham Zaza, Patricio Godoy, Kai Markus Schneider, Georgia Guenther, Yasser A Ahmed, Aya A Abbas, Verena Keitel, Lars Kuepfer, Steven Dooley, Frank Lammert, Christian Trautwein, Michael Spiteller, Dirk Drasdo, Alan F Hofmann, Peter Jansen, Jan Hengstler, Raymond Reif
Date Published: 13th Aug 2018
Authors: G. Peeters, C. Debbaut, A. Friebel, P. Cornillie, W. H. De Vos, K. Favere, I. Vander Elst, T. Vandecasteele, Tim Johann, L. Van Hoorebeke, D. Monbaliu, Dirk Drasdo, Stefan Hoehme, W. Laleman, P. Segers
Date Published: No date defined
Journal: J Anat
PubMed ID: 29205328
Citation: J Anat. 2017 Dec 4. doi: 10.1111/joa.12760.
Authors: Geert Peeters, Charlotte Debbaut, Wim Laleman, Adrian Friebel, Diethard Monbaliu, Ingrid Vander Elst, Jan R. Detrez, Tim Vandecasteele, Tim Johann, Thomas De Schryver, Luc Van Hoorebeke, Kasper Favere, Jonas Verbeke, Dirk Drasdo, Stefan Hoehme, Patrick Segers, Pieter Cornillie, Winnok H. De Vos
Date Published: 28th Dec 2016
Journal: Journal of Anatomy; Volume 230, Issue 3, 471–483
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
Contributor: Tim Johann