Summary

the 2014 International Symposium on Nonlinear Theory and its Applications

2014

Session Number:A2L-D

Session:

Number:A2L-D2

Computational Methods for Exploring the Dynamics of Cancer: The Potential of State Variables for Description of Complex Biological Systems

Stephan Scheidegger,  Hans U. Fuchs,  Rudolf M. Fuchslin,  

pp.168-171

Publication Date:2014/9/14

Online ISSN:2188-5079

DOI:10.34385/proc.46.A2L-D2

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Summary:
Observing dynamic patterns in silico and comparing them to experimental data in vitro or in vivo could help us identify and quantify dynamic processes. Since modellers are faced with a high degree of complexity of biological systems, appropriate concepts of system descriptions are needed. The use of state variables is expected to make models applicable to a wider range of the dynamics of biological systems. This is demonstrated by the Multi-Hit-Repair (MHR-) model which is based on a transient dose equivalent. The model calculates the survival of cells irradiated by ionizing radiation and it describes correctly a large variety of radio-biological observations. In addition, the MHR-model is bridging the gap between processes at the molecular or cellular level and tissue dynamics.