Titlebook: Cancer, Complexity, Computation; Igor Balaz,Andrew Adamatzky Book 2022 The Editor(s) (if applicable) and The Author(s), under exclusive li

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The Effect of Over-Feeding in a Computational Model of Tumour Growth,umour Growth (NEATG) model is a platform that has previously been used to explore aspects of tumour regrowth following cytotoxic treatment and the impact of tissue-cell communicative breakdown (anakoinosis) [.]. The model has been shown to recapitulate real-world tumour growth dynamics and display e

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,Pinning Control to?Regulate Cellular Response in?Cancer for?the?p53-Mdm2 Genetic Regulatory Networkhe network, regulated by p300 and HDAC1, is modeled by a system of 14 ordinary differential equations. Based on this model, an oncogenic condition of Mdm2 overexpression is derived and the functional suppression of p53 is simulated as one possible carcinogenic behavior. Then, control action is intro

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Local Quantitative and Qualitative Sensitivity Analysis of CSC Dynamical Simulation,ions in tumour system to timing and dosage of new treatments testing. When properly calibrated and validated, models can significantly improve our knowledge and contribute to narrowing clinical trials. In this study, we used the ODE model that includes only stem cells (wild and mutated) and differen

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,The Role of?Molecular Dynamics Simulations in?Multiscale Modeling of?Nanocarriers for?Cancer Treatme small number of clinically approved nanoparticles. Nanoparticle design is evolving in complexity, yet most experimental methods cannot keep up since they lack the proper resolution for accurate characterization and testing necessary for clinical approval. The computational approach can advance res

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A Haploid-Diploid Evolutionary Algorithm Optimizing Nanoparticle Based Cancer Treatments,t differs from all previous known work using diploid representations. A form of the Baldwin effect has been identified as inherent to the evolutionary mechanisms of eukaryotes and a simplified version is presented here which maintains such behaviour. Using a well-known abstract tuneable model, it is

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