This project is part of the Project Network 2: In Silico Models of Coupled Biological Systems of the Cluster of Excellence "Data-Integrated Simulation Science (SimTech)" and thus funded by Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany´s Excellence Strategy – EXC 2075 – 390740016.
The project aims at a better understanding of the development of tumors in the liver, which is necessary to predict the process of cancer growth and retardation in the liver. The scope is as follows:
- Develop a deterministic multiscale model for tumor growth and metastases,
- improve the efficiency in the numerical calculation,
- integrate data obtained experimentally and in silico, and
- develop and apply polymorphic uncertainty quantification (UQ) procedures.
Further information: https://www.simtech.uni-stuttgart.de/exc/research/pn/pn2/pn2-2a/
Publications
2024
- Lambers, L., Waschinsky, N., Schleicher, J., König, M., Tautenhahn, H.-M., Albadry, M., Dahmen, U., & Ricken, T. (2024). Quantifying fat zonation in liver lobules : an integrated multiscale in silico model combining disturbed microperfusion and fat metabolism via a continuum biomechanical bi-scale, tri-phasic approach. Biomechanics and Modeling in Mechanobiology, 23(2), Article 2. https://doi.org/10.1007/s10237-023-01797-0
2023
- Suditsch, M., Ricken, T., & Wagner, A. (2023). Patient-specific simulation of brain tumour growth and regression. PAMM, 23(1), Article 1. https://doi.org/10.1002/pamm.202200213
2021
- Suditsch, M., Lambers, L., Ricken, T., & Wagner, A. (2021). Application of a continuum-mechanical tumour model to brain tissue. PAMM, 21(1), Article 1. https://doi.org/10.1002/pamm.202100204
Navina Waschinsky
Dr.-Ing.Head of Optimization & Uncertainty Quantification Group, Researcher
Tim Ricken
Univ.-Prof. Dr.-Ing.Head of Department