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https://doi.org/10.21256/zhaw-1764| Publication type: | Conference paper |
| Type of review: | Peer review (abstract) |
| Title: | Computational methods for exploring the dynamics of cancer : the potential of state variables for description of complex biological systems |
| Authors: | Scheidegger, Stephan Fuchs, Hans Ulrich Füchslin, Rudolf Marcel |
| DOI: | 10.21256/zhaw-1764 |
| Proceedings: | Proceedings of the international symposium on nonlinear theory and its applications : NOLTA2014, Luzern, Switzerland, september 14-18, 2014 |
| Page(s): | 168 |
| Pages to: | 171 |
| Conference details: | Nonlinear Theory and Applications 2014 (NOLTA), Luzern, 14-18 September 2014 |
| Issue Date: | 2014 |
| Publisher / Ed. Institution: | NOLTA Society |
| Language: | English |
| Subject (DDC): | 570: Biology 610: Medicine and health |
| Abstract: | 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. |
| URI: | https://digitalcollection.zhaw.ch/handle/11475/3502 |
| Fulltext version: | Published version |
| License (according to publishing contract): | Licence according to publishing contract |
| Departement: | School of Engineering |
| Organisational Unit: | Institute of Applied Mathematics and Physics (IAMP) |
| Appears in collections: | Publikationen School of Engineering |
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|---|---|---|---|---|
| 2014_Scheidegger_Computational Methods_NOLTA.pdf | 137.31 kB | Adobe PDF |  View/Open |
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Scheidegger, S., Fuchs, H. U., & Füchslin, R. M. (2014). Computational methods for exploring the dynamics of cancer : the potential of state variables for description of complex biological systems [Conference paper]. Proceedings of the International Symposium on Nonlinear Theory and Its Applications : NOLTA2014, Luzern, Switzerland, September 14-18, 2014, 168–171. https://doi.org/10.21256/zhaw-1764
Scheidegger, S., Fuchs, H.U. and Füchslin, R.M. (2014) ‘Computational methods for exploring the dynamics of cancer : the potential of state variables for description of complex biological systems’, in Proceedings of the international symposium on nonlinear theory and its applications : NOLTA2014, Luzern, Switzerland, september 14-18, 2014. NOLTA Society, pp. 168–171. Available at: https://doi.org/10.21256/zhaw-1764.
S. Scheidegger, H. U. Fuchs, and R. M. Füchslin, “Computational methods for exploring the dynamics of cancer : the potential of state variables for description of complex biological systems,” in Proceedings of the international symposium on nonlinear theory and its applications : NOLTA2014, Luzern, Switzerland, september 14-18, 2014, 2014, pp. 168–171. doi: 10.21256/zhaw-1764.
SCHEIDEGGER, Stephan, Hans Ulrich FUCHS und Rudolf Marcel FÜCHSLIN, 2014. Computational methods for exploring the dynamics of cancer : the potential of state variables for description of complex biological systems. In: Proceedings of the international symposium on nonlinear theory and its applications : NOLTA2014, Luzern, Switzerland, september 14-18, 2014. Conference paper. NOLTA Society. 2014. S. 168–171
Scheidegger, Stephan, Hans Ulrich Fuchs, and Rudolf Marcel Füchslin. 2014. “Computational Methods for Exploring the Dynamics of Cancer : The Potential of State Variables for Description of Complex Biological Systems.” Conference paper. In Proceedings of the International Symposium on Nonlinear Theory and Its Applications : NOLTA2014, Luzern, Switzerland, September 14-18, 2014, 168–71. NOLTA Society. https://doi.org/10.21256/zhaw-1764.
Scheidegger, Stephan, et al. “Computational Methods for Exploring the Dynamics of Cancer : The Potential of State Variables for Description of Complex Biological Systems.” Proceedings of the International Symposium on Nonlinear Theory and Its Applications : NOLTA2014, Luzern, Switzerland, September 14-18, 2014, NOLTA Society, 2014, pp. 168–71, https://doi.org/10.21256/zhaw-1764.
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