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This e-book contains detailed examples illustrating the path to the digital biology and computerized drug development for personalized medicine. It provides conceptual principals for building biological models and for applying the models to make predictions relevant for drug development and translational medicine.

Biological models. --- System theory. --- Systems, Theory of --- Systems science --- Science --- Models, Biological --- Philosophy

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Animal models of diseases play a pivotal role in drug discovery and development, not only for proof of the concept studies of efficacy, PK/PD relationship but also for drug safety assessment. Since considerable differences in variables exist between animal models and human models (such as genetics, physiology, anatomy, gene expression, heterogeneity of disease conditions, etc.), not all the preclinical models are able to represent the pathophysiological conditions in human diseases. Therefore, partly due to the lack of congruency between animal and human disease models, several proposed therap

Animal models in research. --- Medicine --- Health Workforce --- Animal experimentation --- Biological models --- Laboratory animals --- Research --- Research.

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The rapid expansion of synthetic biology is due to the design and construction of synthetic gene networks that have opened many new avenues in fundamental and applied research. Synthetic Gene Networks: Methods and Protocols provides the necessary information to design and construct synthetic gene networks in different host backgrounds. Divided into four convenient sections, this volume focuses on design concepts to devise synthetic gene networks and how mathematical models can be applied to the predictable engineering of desired network features. The volume continues by highlighting the construction and validation of biologic tools, describing strategies to optimize and streamline the host cell for optimized network performance, and covering how optimally designed gene networks can be implemented in a large variety of host cells ranging from bacteria over yeast and insect cells to plant and mammalian cell culture. Written in the successful Methods in Molecular Biology™ series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible protocols, and notes on troubleshooting and avoiding known pitfalls.   Authoritative and easily accessible, Synthetic Gene Networks: Methods and Protocols serves as an invaluable resource for established biologists, engineers, and computer scientists or novices just entering into the rapidly growing field of synthetic biology.

Bioinformatics. --- Biological models. --- Systems Biology. --- Models, Biological --- Bio-informatics --- Biological informatics --- Biology --- Information science --- Computational biology --- Systems biology --- Data processing

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Integrative approaches to biomedical research promise to advance our understanding of the human body and physiopathology of diseases. In this book, the author focuses on the skeletal system, demonstrating how multiscale modeling can determine the relationship between bone mechanics and disease. Introductory chapters explain the concept of integrative research, what a model is, predictive modeling, and the computational methods used throughout the book. Starting with whole body anatomy, physiology and modeling, subsequent chapters scale down from bone and tissue levels to the cellular level, where the modeling of mechanobiological processes is addressed. Finally, the principles are applied to address truly complex, multiscale interactions. Special attention is given to real-world clinical applications: one in pediatric skeletal oncology and one on the prediction of fracture risks in osteoporotic patients. This book has wide interdisciplinary appeal and is a valuable resource for researchers in mechanical and biomedical engineering, quantitative physiology and computational biology.

Models, Biological. --- Musculoskeletal Physiological Phenomena. --- Biomechanics --- Computer Simulation. --- physiology. --- Biomechanical Phenomena --- Skeleton --- Biological models. --- Models, Biological --- Osteology --- Bones --- Models. --- Musculoskeletal system --- Multiscale modeling. --- Mathematical models. --- Mechanical properties --- Bone --- Multi-scale modeling --- Multiscale models --- Mathematical models --- Multivariate analysis --- Locomotor system --- Musculo-skeletal system --- Skeletomuscular system --- Musculoskeletal Physiological Phenomena --- Computer Simulation --- physiology

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The volumes in this authoritative series present a multidisciplinary approach to modeling and simulation of flows in the cardiovascular and ventilatory systems, especially multiscale modeling and coupled simulations. The cardiovascular and respiratory systems are tightly coupled, as their primary function is to supply oxygen to and remove carbon dioxide from the body's cells. Because physiological conduits have deformable and reactive walls, macroscopic flow behavior and prediction must be coupled to nano- and microscopic events in a corrector scheme of regulated mechanisms. Therefore, investigation of flows of blood and air in physiological conduits requires an understanding of the biology, chemistry, and physics of these systems together with the mathematical tools to describe their functioning. Volumes 1 and 2 are devoted to cell organization and fate, as well as activities that are autoregulated and/or controlled by the cell environment. Volume 1 examined cellular features that allow adaptation to environmental conditions. Volume 2 begins with a survey of the cell types of the nervous and endocrine systems involved in the regulation of the vasculature and respiratory tract and growth factors.  It then describes major cell events in the circulatory and ventilatory systems, such as cell growth, proliferation, migration, and death. Circadian cycles that drive rhythmic gene transcription are also covered. Describes cell types, functions, and fate in the regulated activities of the circulatory and respiratory systems Presents applications of mechanics and mathematics for an understanding and prediction of function in health and disease Integrates biology, chemistry, and physics for a multidisciplinary understanding of physiological flows.

Cardiopulmonary system -- Cytology. --- Cell differentiation -- Mathematical models. --- Cellular control mechanisms --- Cell differentiation --- Cardiopulmonary system --- Anatomy --- Cell Physiological Processes --- Growth --- Growth and Development --- Cell Physiological Phenomena --- Phenomena and Processes --- Physiological Processes --- Physiological Phenomena --- Cell Death --- Cell Growth Processes --- Respiratory System --- Cardiovascular System --- Human Anatomy & Physiology --- Biology --- Health & Biological Sciences --- Biophysics --- Physiology --- Cytology --- Mathematical models --- Cardiovascular system. --- Biomechanics. --- Mathematical models. --- Biological mechanics --- Mechanical properties of biological structures --- Circulatory system --- Vascular system --- Physics. --- Cardiology. --- Systems biology. --- Biomathematics. --- Biophysics. --- Biological physics. --- Fluid mechanics. --- Biomedical engineering. --- Biophysics and Biological Physics. --- Biomedical Engineering. --- Mathematical and Computational Biology. --- Systems Biology. --- Engineering Fluid Dynamics. --- Mechanics --- Contractility (Biology) --- Biological models --- Biomathematics --- Blood --- Circulation --- Biological models. --- Hydraulic engineering. --- Biological and Medical Physics, Biophysics. --- Biomedical Engineering and Bioengineering. --- Heart --- Internal medicine --- Engineering, Hydraulic --- Engineering --- Fluid mechanics --- Hydraulics --- Shore protection --- Models, Biological --- Clinical engineering --- Medical engineering --- Bioengineering --- Medicine --- Diseases --- Hydromechanics --- Continuum mechanics --- Computational biology --- Bioinformatics --- Biological systems --- Molecular biology --- Mathematics --- Biological physics --- Medical sciences --- Physics