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Issue 278: In the past, everyone with the same type of cancer used to get the same treatment, however that one size fits all approach doesn’t work for everyone. This inherent variability of cancer lends itself to the growing field of personalized medicine, which uses information about a person’s cancer to help with the diagnosis and treatment. Within this broad context we introduce an agent-based model that reproduces a variety of spatial patterns of tissue regeneration and tumor growth. These results are a promising step in the direction of a personalized estimation of tissue dynamics from a limited number of measurements carried out at diagnosis. They could significantly contribute to the understanding of how cancer develops and to outline different therapeutic strategies to improve patient outcomes. The picture shows how the tumor growth varies based on its location within the tissue (see here for an animation).