The Brain-Bladder Axis in Tissue Growth and Remodelling (eBook, ePUB)
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Applying the general deterministic approach of systems computational biology, the monograph considers questions related to the biomechanics of the human urinary bladder in conjunction with the peripheral and central nervous systems. The step-by-step development of mathematical models of separate structural elements and their assembly into a unique self-regulatory system offers, for the first time, a holistic overview and allows the investigation of the dynamics of the lower urinary tract system at its hierarchical levels. This book provides a coherent description and explanation for intertwine...
Applying the general deterministic approach of systems computational biology, the monograph considers questions related to the biomechanics of the human urinary bladder in conjunction with the peripheral and central nervous systems. The step-by-step development of mathematical models of separate structural elements and their assembly into a unique self-regulatory system offers, for the first time, a holistic overview and allows the investigation of the dynamics of the lower urinary tract system at its hierarchical levels. This book provides a coherent description and explanation for intertwined intracellular pathways in terms of spatiotemporal, whole body, tractable representations which are supported by numerous computational simulations. Key Features
- It reconstructs accurately the cytoarchitecture and morphofunctional relationships between the elements of the central nervous (brain) and genitourinary (urinary bladder system).
- Offers for the first time a both quantitative and qualitative, assessment of the neurohormonal and mechanobiological processes involved in the process.
- Provides a comprehensive description for intertwined regulatory pathways in terms of spatiotemporal dynamic representations.
- Encourages the reader to develop and apply a unique holistic approach to solving complex biomedical problems in the area of growth and remodeling of the urinary bladder through application of modern methods of computational biology.
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