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A scalable solver for a stochastic, hybrid cellular automaton model of personalized breast cancer therapy
Coupling discrete cell-based models with continuous models using hybrid cellular automata is a powerful approach for mimicking biological complexity and describing the dynamical exchange of information across different scales.
Towards personalized computer simulations of breast cancer treatment
Cancer pathology is unique to a given individual, and developing personalized diagnostic and treatment protocols are a primary concern.
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