226
X-Machines for Agent-Based Modeling: FLAME Perspectives
can evolve. With this project, the authors developed the agent-based model to
include competition between cancer cells for resources which will add increased
complexity, using population level modeling. In this model, they showed that
a sequential way of treating cancer is more prone to encourage the development of drug resistance. The current clinical strategy is mainly sequential,
first treating with one drug and using sequential drugs to battle any recurrence or when treatment on earlier drugs was unsuccessful. Many drugs can
usually not be provided as a cocktail because this will pose severe side effects.
Currently, it is the aim to extend these models to include interactions between
cells in terms of position within the cancer and competition for oxygen and
energy.
Cancer Drug Model
150714
cell_functions.c
druga_functions.c
drugb_functions.c
generatedrug_functions.c
library_functions.c
Cell
int myid
int mcat
double xpos
double ypos
double zpos
double clife
cell_here
0a
00
cell_divide divide on division rate
00
01
X-Machines for Agent-Based Modeling: FLAME Perspectives
can evolve. With this project, the authors developed the agent-based model to
include competition between cancer cells for resources which will add increased
complexity, using population level modeling. In this model, they showed that
a sequential way of treating cancer is more prone to encourage the development of drug resistance. The current clinical strategy is mainly sequential,
first treating with one drug and using sequential drugs to battle any recurrence or when treatment on earlier drugs was unsuccessful. Many drugs can
usually not be provided as a cocktail because this will pose severe side effects.
Currently, it is the aim to extend these models to include interactions between
cells in terms of position within the cancer and competition for oxygen and
energy.
