Ralf Steuer
Interested in modelling metabolism, predicting metabolic phenotypes and dynamic transitions in metabolism. Also using partially and incompletely characterized models (probabilistic predictions).
SEEK ID: https://seek.lisym.org/people/135
Location:
Germany
ORCID:
https://orcid.org/0000-0003-2217-1655
Joined: 5th Mar 2020
Expertise: Mathematical Modelling, Nonlinear Dynamics, Models of Metabolism, Network Reconstruction, Modelling Growth Phenotypes, Probabilistic Models, Coarse-grained Models of Metabolism
Tools: Not specified
Their tagsRelated items
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
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
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.
