3D Multiscale Physiological Human
2014 ed.
Book Details
Format
Hardback or Cased Book
ISBN-10
1447162749
ISBN-13
9781447162742
Edition
2014 ed.
Publisher
Springer London Ltd
Imprint
Springer London Ltd
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Jan 16th, 2014
Print length
316 Pages
Weight
604 grams
Dimensions
16.10 x 24.20 x 1.80 cms
Product Classification:
PhysiologyComputer modelling & simulationComputer modelling and simulation
Ksh 16,200.00
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3D Multiscale Physiological Human
3D Multiscale Physiological Human aims to promote scientific exchange by bringing together overviews and examples of recent scientific and technological advancements across a wide range of research disciplines. As a result, the variety in methodologies and knowledge paradigms are contrasted, revealing potential gaps and opportunities for integration. Chapters have been contributed by selected authors in the relevant domains of tissue engineering, medical image acquisition and processing, visualization, modeling, computer aided diagnosis and knowledge management. The multi-scale and multi-disciplinary research aspects of articulations in humans are highlighted, with a particular emphasis on medical diagnosis and treatment of musculoskeletal diseases and related disorders. The need for multi-scale modalities and multi-disciplinary research is an emerging paradigm in the search for a better biological and medical understanding of the human musculoskeletal system. This is particularly motivated by the increasing socio-economic burden of disability and musculoskeletal diseases, especially in the increasing population of elderly people. Human movement is generated through a complex web of interactions between embedded physiological systems on different spatiotemporal scales, ranging from the molecular to the organ level. Much research is dedicated to the understanding of each of these systems, using methods and modalities tailored for each scale. Nevertheless, combining knowledge from different perspectives opens new venues of scientific thinking and stimulates innovation. Integration of this mosaic of multifaceted data across multiple scales and modalities requires further exploration of methods in simulations and visualization to obtain a comprehensive synthesis. However, this integrative approach cannot be achieved without a broad appreciation for the multiple research disciplines involved.
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