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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Drawbacks of Bench to Bed Translation of Nanomedicines for Cancer Treatment,n terms of reduced adverse effects and overcome?resistance of the chemotherapeutical drugs. Even though the potential of nanomedicines, its clinical translation still suboptimal. A new focus and new paradigm of this prospective scientific field is thus urgently needed.

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,Quantitative In Vivo Imaging to?Enable Tumour Forecasting and?Treatment Optimization,nal methods designed to solve these models, thereby enabling their use for producing personalized tumour forecasts in silico, which, ultimately, can be used to not only predict response, but also optimize treatment. Finally, we discuss the main barriers to making the above paradigm a clinical reality.

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The Effect of Over-Feeding in a Computational Model of Tumour Growth,th. On investigation it was ascertained that a single model parameter had been mistyped and that the nutrient supply had been set at a supra-physiological level. This study expands on this chance finding to explore the impact of over-feeding on tumour growth dynamics and its relation to response to cytotoxic treatment.

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Local Quantitative and Qualitative Sensitivity Analysis of CSC Dynamical Simulation,ata for breast tumour tissue. Obtained results indicate that even slight variations in initial values of signaling parameters can lead to considerable differences in tumour size over the course of 250?days. The model exerted the highest sensitivity to self-renewal probability for initial values above 0.5.

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What Cancer Is,e valid in all possible worlds in which cancer could logically exist. The grounds of cancer are then examined and elucidated. Two grounding cancer properties are identified and discussed: symmetry-breaking and computational intelligence. Each examination leads to concrete conclusions for novel thera

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