Mathematical Modelling in Biomedicine

Mathematical modelling in biomedicine is a rapidly developing scientific discipline at the intersection of medicine, biology, mathematics, physics, and computer science. Its progress is stimulated by fundamental scientific questions and by the applications to public health. This book represents a co...

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Bibliographic Details
Other Authors: Volpert, Vitaly (Editor)
Format: Electronic Book Chapter
Language:English
Published: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021
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Online Access:DOAB: download the publication
DOAB: description of the publication
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520 |a Mathematical modelling in biomedicine is a rapidly developing scientific discipline at the intersection of medicine, biology, mathematics, physics, and computer science. Its progress is stimulated by fundamental scientific questions and by the applications to public health. This book represents a collection of papers devoted to mathematical modelling of various physiological problems in normal and pathological conditions. It covers a broad range of topics including cardiovascular system and diseases, heart and brain modelling, tumor growth, viral infections, and immune response. Computational models of blood circulation are used to study the influence of heart arrhythmias on coronary blood flow and on operating modes for left-ventricle-assisted devices. Wave propagation in the cardiac tissue is investigated in order to show the influence of tissue heterogeneity and fibrosis. The models of tumor growth are used to determine optimal protocols of antiangiogenic and radiotherapy. The models of viral hepatitis kinetics are considered for the parameter identification, and the evolution of viral quasi-species is investigated. The book presents the state-of-the-art in mathematical modelling in biomedicine and opens new perspectives in this passionate field of research. 
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650 7 |a Mathematics & science  |2 bicssc 
653 |a virus density distribution 
653 |a genotype 
653 |a virus infection 
653 |a immune response 
653 |a resistance to treatment 
653 |a nonlocal interaction 
653 |a quasi-species diversification 
653 |a mathematical oncology 
653 |a spatially distributed modeling 
653 |a reaction-diffusion-convection equations 
653 |a computer experiment 
653 |a spiral wave 
653 |a heterogeneity 
653 |a heart modeling 
653 |a myocardium 
653 |a left ventricle 
653 |a neural field model 
653 |a integro-differential equation 
653 |a waves 
653 |a brain stimulation 
653 |a mathematical modeling 
653 |a cardiac mechanics 
653 |a multiscale simulation 
653 |a cardiomyopathies 
653 |a left ventricle remodeling 
653 |a spatially-distributed modeling 
653 |a gradient descent 
653 |a 1D haemodynamics 
653 |a systole variations 
653 |a coronary circulation 
653 |a cardiac pacing 
653 |a tachycardia 
653 |a bradycardia 
653 |a interventricular asynchrony 
653 |a long QT syndrome 
653 |a premature ventricular contraction 
653 |a rotary blood pump 
653 |a lumped heart model 
653 |a cardiac fibrosis 
653 |a excitable media 
653 |a wave break 
653 |a elongated obstacle 
653 |a lymph flow 
653 |a mathematical modelling 
653 |a lymphatic vessels 
653 |a lymph nodes 
653 |a parameter estimation 
653 |a constrained optimization 
653 |a derivative free optimization 
653 |a multiscale models 
653 |a differential equations 
653 |a viral hepatitis 
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