Computational Intelligence in Biomedicine and Bioinformatics, Tomasz G. Smolinski; Mariofanna G. Milanova; Aboul
Автор: Tomasz G. Smolinski; Mariofanna G. Milanova; Aboul Название: Computational Intelligence in Biomedicine and Bioinformatics ISBN: 3642089690 ISBN-13(EAN): 9783642089695 Издательство: Springer Рейтинг: Цена: 30606.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The purpose of this book is to provide an overview of state-of-the-art methodologies currently utilized for biomedicine and/or bioinformatics-oriented applications. Researchers working in these fields will learn new methods to help tackle their problems.
Автор: Lodewijk Bos; Denis Carroll; Luis Kun; Andrew Mars Название: Future Visions on Biomedicine and Bioinformatics 2 ISBN: 364226963X ISBN-13(EAN): 9783642269639 Издательство: Springer Рейтинг: Цена: 15672.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Swamy Laxminarayan was a prominent biomedical scientist and his ideas influenced the Biomedical Technology field substantially. This book provides an overview on his multiple achievements and presents a collection of his most outstanding publications.
Автор: Michael G. Sargent Название: Biomedicine and the Human Condition ISBN: 0521541484 ISBN-13(EAN): 9780521541480 Издательство: Cambridge Academ Рейтинг: Цена: 8394.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: How to avoid disease, how to breed successfully, and how to live to a reasonable age are questions that have long perplexed humankind. This 2005 book explores our progress in understanding these challenges, and the risks and rewards of our attempts to find solutions.
Автор: Quarteroni Название: Complex Systems in Biomedicine ISBN: 8847003946 ISBN-13(EAN): 9788847003941 Издательство: Springer Рейтинг: Цена: 18284.00 р. Наличие на складе: Поставка под заказ.
Описание: Mathematical modeling of human physiopathology is a tremendously ambitious task. It encompasses the modeling of most diverse compartments such as the cardiovascular, respiratory, skeletal and nervous systems, as well as the mechanical and biochemical interaction between blood flow and arterial walls, or electrocardiac processes and the electric conduction into biological tissues. Mathematical models can be set up to simulate both vasculogenesis (the aggregation and organisation of endothelial cells dispersed in a given environment) and angiogenesis (the formation of new vessels sprouting from an existing vessel) that are relevant to the formation of vascular networks, and in particular to the description of tumor growth. The integration of models aimed at simulating the cooperation and interrelation of different systems is an even more difficult task. It calls for the set up of, for instance, interaction models for the integrated cardio-vascular system and the interplay between central circulation and peripheral compartments, models for the mid-long range cardiovascular adjustments to pathological conditions (e.g. to account for surgical interventions, congenital malformations, or tumor growth), models for the integration among circulation, tissue perfusion, biochemical and thermal regulation, models for parameter identification and sensitivity analysis to parameter changes or data uncertainty – and many others. The heart is a complex system in itself, where electrical phenomena are functionally related with the wall deformation. In its turn, electrical activity is related with heart physiology. It involves nonlinear reaction-diffusion processes and provides the activation stimulus to the heart dynamics and eventually the blood ventricular flow that drives the haemodynamics of the whole circulatory system. In fact, the influence is reciprocal, since the circulatory system in turns affects the heart dynamics and may induce an overload depending upon the individual physiopathologies ( for instance the presence of a stenotic artery or a vascular prosthesis).Virtually, all the fields of mathematics have a role to play in this context. Geometry and approximation theory provide the tools for handling clinical data acquired by tomography or magnetic resonance, identifying meaningful geometrical patterns and producing three-dimensional geometrical models stemming from the original patients data. Mathematical analysis, flow and solid dynamics, stochastic analysis are used to set up the differential models and predict uncertainty. Numerical analysis and high performance computing are needed to numerically solve the complex differential models. Finally, methods from stochastic and statistical analysis are exploited for the modeling and interpretation of space-time patterns. Indeed, the complexity of the problems at hand often stimulates the use of innovative mathematical techniques that are able, for instance, to accurately catch those processes that occur at multiple scales in time and space (like cellular and systemic effects), and that are governed by heterogeneous physical laws.
Описание: This edited volume contains a selection of chapters that are an outgrowth of the - ropean Conference on Mathematical and Theoretical Biology (ECMTB05, Dresden, Germany, July 2005). The peer-reviewed contributions show that mathematical and computational approaches are absolutely essential for solving central problems in the life sciences, ranging from the organizational level of individual cells to the dynamics of whole populations. The contributions indicate that theoretical and mathematical biology is a diverse and interdisciplinary ?eld, ranging from experimental research linked to mathema- cal modeling to the development of more abstract mathematical frameworks in which observations about the real world can be interpreted, and with which new hypotheses for testing can be generated. Today, much attention is also paid to the development of ef?cient algorithms for complex computation and visualisation, notably in molecular biology and genetics. The ?eld of theoretical and mathematical biology and medicine has profound connections to many current problems of great relevance to society. The medical, industrial, and social interests in its development are in fact indisputable.
Автор: Ewa Pietka; Jacek Kawa Название: Information Technologies in Biomedicine ISBN: 3642131042 ISBN-13(EAN): 9783642131042 Издательство: Springer Рейтинг: Цена: 46118.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents recent research on Information Technologies in Biomedicine. It includes biomedical signals, medical image processing, computer-aided diagnosis and surgery, biometrics, healthcare and telemedicine, biomechanics, biomaterials, bioinformatics.
Автор: Janosky Название: Single Subject Designs in Biomedicine ISBN: 9048124433 ISBN-13(EAN): 9789048124435 Издательство: Springer Рейтинг: Цена: 23058.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Draws upon the history of single case research within the educational and behavioral research settings. This work uses biomedical illustrations to demonstrate the processes of designing, implementing and evaluating a single subject design. It discusses statistical and visual techniques for data analysis.
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