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Treatment Analysis in a Cancer Stem Cell Context Using a Tumor Growth Model Based on Cellular Automata.

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Academic year: 2017

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Fig 1. Event model used in the simulation. Mitoses are scheduled between 5 and 10 time iterations in the future
Fig 2. Tumor regrowth after a high-intensity treatment. The graph shows the evolution through time iterations of the number of Differentiated Cancer Cells — DCCs (continuous red line) with g = 5 while the rest of the parameters were set to their standard v
Fig 3. Tumor regrowth after a low-intensity treatment. The graph shows the evolution through time iterations of the number of Differentiated Cancer Cells — DCCs (continuous red line) with g = 5 while the rest of the parameters were set to their standard va
Fig 4. Different treatment strategies in a high invasion potential scenario. The graphs show the evolution through time iterations of the number Differentiated Cancer Cells — DCCs (continuous red line) with g = 5 while the rest of the parameters were set t
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