Modeling cancer progression: an integrated workflow extending data-driven kinetic models to bio-mechanical PDE models
Navid Mohammad Mirzaei,
Leili Shahriyari
Abstract:Computational modeling of cancer can help unveil dynamics and interactions that are hard to replicate experimentally. Thanks to the advancement in cancer databases and data analysis technologies, these models have become more robust than ever. There are
many mathematical models which investigate cancer through different approaches, from sub-cellular to tissue scale, and from treatment to diagnostic points of view. In this study, we lay out a step-by-step methodology for a data-driven mechanistic model … Show more
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