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An Agent-Based Model of Glioblastoma Infiltration

Conference Paper
Publication Date:
2023
abstract:
An Agent-Based Model (ABM) of glioblastoma infiltration into surrounding healthy brain tissue is presented. The model incorporates variable cell movement rates and replication rates depending on internal energy levels, thus representing the history of residency of the cells in the energy-poor core or energy-rich edge regions of the original tumor spheroid. The model is able to reproduce the fragmented infiltration front of glioblastoma and is quantitatively consistent with reported data of glioblastoma growth and spread. While basic, the model can be easily expanded to include different cell sub-populations, study the interaction of tumor and immune system and explore different treatment scenarios with a view to personalized therapy.
Iris type:
04.01 Contributo in Atti di convegno
Keywords:
Agent-Based Model; Glioblastoma; Cancer; Infiltration; Personalized therapy
List of contributors:
Pompa, Marcello; DE GAETANO, Andrea; Panunzi, Simona; Borri, Alessandro
Authors of the University:
BORRI ALESSANDRO
DE GAETANO ANDREA
PANUNZI SIMONA
POMPA MARCELLO
Handle:
https://iris.cnr.it/handle/20.500.14243/453268
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