Introduction:
Cancer is made of complex biophysical and biochemical processes involved in many different phenomena at various temporal and spatial scales. A deep interest in cancer modelling among the research community has intensified in recent years. This intense activity has led to rapid improvements in the way we approach cancer modelling: From traditional models describing tumors as spheroids made up of only one cell type with constant density, to more recent multiscale models accounting for several types of cells (e.g., tumor and host cells moving, replicating and dying) that live in a complex environment filled with proteins and growth factors that affect single cell behavior. Resulting models offer many challenging problems to mathematicians, whose solutions may help the understanding of tumor growth and the development of treatment strategies. Our special session aims to gather scientists working in various fields of cancer modelling to discuss recent approaches and new results. |