Abstract
We used a cellular automaton model for cancer growth simulation at cellular level, based on the presence of different cancer hallmarks acquired by the cells. The rules of the cellular automaton determine cell mitotic and apoptotic behaviors, which are based on the acquisition of the hallmarks in the cells by means of mutations. The simulation tool allows the study of the emergent behavior of tumor growth. This work focuses on the simulation of the behavior of cancer stem cells to inspect their capability of regeneration of tumor growth in different scenarios.
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Monteagudo, Á., Santos Reyes, J. (2013). Cancer Stem Cell Modeling Using a Cellular Automaton. In: Ferrández Vicente, J.M., Álvarez Sánchez, J.R., de la Paz López, F., Toledo Moreo, F.J. (eds) Natural and Artificial Computation in Engineering and Medical Applications. IWINAC 2013. Lecture Notes in Computer Science, vol 7931. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38622-0_3
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DOI: https://doi.org/10.1007/978-3-642-38622-0_3
Publisher Name: Springer, Berlin, Heidelberg
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