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Cancer is a complex disease which is composed of numerous interactive components that operate in an environment with high uncertainties. Approaching such a system hence requires its own set of tools. Here, we propose an in-silico model of cancer cell line based on local environmental information, and study its emergent complex global cellular behaviors. The proposed model is composed of a Fuzzy Inference...
A biomimicry approach to nanonetworks is proposed here for targeted cancer drug delivery (TDD). The swarm of bioinspired nanomachines utilizes the blood distribution network and chemotaxis to carry drug through the vascular system to the cancer site, recognized by a high concentration of vascular endothelial growth factor (VEGF). Our approach is multi-scale and includes processes that occur both within...
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