SEEK ID: https://seek.lisym.org/people/10
Location:
Germany
ORCID: Not specified
Joined: 27th Apr 2017
Expertise: Not specified
Tools: Not specified
LiSyM Pillar I: Early Metabolic Injury (LiSyM-EMI) (Universität Leipzig - Institute for Computer Science (Bioinformatics)) ; LiSyM network (Universität Leipzig - Institute for Computer Science (Bioinformatics)) ; LiSyM-Krebs Partnering (Universität Leipzig - Institute for Computer Science (Bioinformatics)) ; LiSyM-Krebs Partnering (Dr. Margarete Fischer-Bosch-Institut für Klinische Pharmakologie) ; Forschungsnetzwerk LiSyM-Krebs (Universität Leipzig - Institute for Computer Science (Bioinformatics)) ; SMART-NAFLD (Universität Leipzig - Institute for Computer Science (Bioinformatics)) ; C-TIP-HCC network (Universität Leipzig - Institute for Computer Science (Bioinformatics))
Related items
- Programmes (2)
- Projects (6)
- Institutions (2)
- Investigations (0+1)
- Publications (15)
- Presentations (2+3)
- Documents (0+2)
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
**C-TIP-HCC **- Mechanism-based Multiscale Model to Dissect the Tipping Point from Liver Cirrhosis to Hepatocellular Carcinoma
The ultimate goal of the C-TIP-HCC is a „mechanistic multiscale model to describe dynamic changes in regenerative nodes across a tipping point (TIP) towards development in patients with cirrhosis to facilitate early monitoring and intervention“ and facilitate intervention“. To achieve this, we will conduct in-depth studies on cirrhotic regenerative nodes.
Programme: LiSyM-Krebs - Systemmedizinisches Forschungsnetz zur Früherkennung und Prävention von Leberkrebs
Public web page: Not specified
Organisms: Homo sapiens, Mus musculus
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
SMART-NAFLD : A Systems Medicine Approach to Early Detection and Prevention of Hepatocellular Carcinoma in Non-Alcoholic Fatty Liver Disease
The massive increase in obesity is leading to an alarming rise in non-alcoholic liver disease (NAFLD). This development will lead to a dramatic increase in liver diseases such as hepatocellular carcinoma (HCC). A particular challenge is that NAFLD-associated HCCs, for reasons still unknown, not only occur in association with advanced liver fibrosis/cirrhosis, ...
Programme: LiSyM-Krebs - Systemmedizinisches Forschungsnetz zur Früherkennung und Prävention von Leberkrebs
Public web page: Not specified
Organisms: Mus musculus, Homo sapiens
Country: Germany
City: 04107 Leipzig
Web page: http://forschen.uni-leipzig.de/professorships/bioinformatics.html
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: Christian H. Holland, Ricardo O. Ramirez Flores, Maiju Myllys, Reham Hassan, Karolina Edlund, Ute Hofmann, Rosemarie Marchan, Cristina Cadenas, Jörg Reinders, Stefan Hoehme, Abdel‐latif Seddek, Steven Dooley, Verena Keitel, Patricio Godoy, Brigitte Begher‐Tibbe, Christian Trautwein, Christian Rupp, Sebastian Mueller, Thomas Longerich, Jan G. Hengstler, Julio Saez‐Rodriguez, Ahmed Ghallab
Date Published: 28th Aug 2021
Publication Type: Journal
DOI: 10.1002/hep4.1797
Citation: Hepatol Commun,hep4.1797
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:
Abstract
Authors: Adrian Friebel, Tim Johann, Dirk Drasdo, Stefan Hoehme
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