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Cancer, Complexity, Computation

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Cover of 'Cancer, Complexity, Computation'

Table of Contents

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    Book Overview
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    Chapter 1 What Cancer Is
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    Chapter 2 Complementarity, Complexity and the Fokker–Planck Equation; from the Microscale Quantum Stochastic Events to Fractal Dynamics of Cancer
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    Chapter 3 Quantitative In Vivo Imaging to Enable Tumour Forecasting and Treatment Optimization
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    Chapter 4 The Effect of Over-Feeding in a Computational Model of Tumour Growth
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    Chapter 5 Modeling Tumour Growth with a Modulated Game of Life Cellular Automaton Under Global Coupling
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    Chapter 6 Pinning Control to Regulate Cellular Response in Cancer for the p53-Mdm2 Genetic Regulatory Network
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    Chapter 7 Heterogeneous Tumour Modeling Using PhysiCell and Its Implications in Precision Medicine
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    Chapter 8 Local Quantitative and Qualitative Sensitivity Analysis of CSC Dynamical Simulation
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    Chapter 9 The Role of Molecular Dynamics Simulations in Multiscale Modeling of Nanocarriers for Cancer Treatment
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    Chapter 10 A Haploid-Diploid Evolutionary Algorithm Optimizing Nanoparticle Based Cancer Treatments
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    Chapter 11 Drawbacks of Bench to Bed Translation of Nanomedicines for Cancer Treatment
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    Chapter 12 Swarms: The Next Frontier for Cancer Nanomedicine
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    Chapter 13 Study of Tumour Induced Vessel Displacement in the Tumour Progression Rate with Advanced Bioinspired Computational Tools
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    Chapter 14 Complexities of Drug Resistance in Cancer: An Overview of Strategies and Mathematical Models
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    Chapter 15 The Immune System in Health and Disease: The Need for Personalised Longitudinal Monitoring
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    Chapter 16 Correction to: The Immune System in Health and Disease: The Need for Personalised Longitudinal Monitoring
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