Mathematical Models of Cell-Based Morphogenesis: Passive and Active Remodeling (Theoretical Biology)
Mathematical Models of Cell-Based Morphogenesis: Passive and Active Remodeling is a cutting-edge reference that bridges mathematics, computational biology, and developmental biology to explore how tissues and organs take shape through cellular processes. Morphogenesis—the biological process by which structures form—relies on the complex interplay between cellular behavior, mechanical forces, and biochemical signaling. This volume offers a comprehensive look at how mathematical modeling can explain and predict the mechanisms driving both passive (mechanics-driven) and active (cell-regulated) tissue remodeling.
Written by leading experts in theoretical biology, biomechanics, and mathematical modeling, this book provides researchers with the tools and frameworks necessary to analyze morphogenetic phenomena in both normal development and disease contexts. It offers a unique combination of biological insight and quantitative methods, making it invaluable for those seeking to integrate experimental and computational approaches.
Key Features of “Mathematical Models of Cell-Based Morphogenesis”:
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Comprehensive Coverage: Explains the mathematical principles behind tissue growth, cell migration, and shape changes.
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Passive vs. Active Remodeling: Distinguishes between mechanical forces shaping tissues and active cellular regulation through signaling pathways.
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Multiscale Modeling: Integrates models from subcellular dynamics to tissue- and organ-level morphogenesis.
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Case Studies: Real-world applications in developmental biology, tissue engineering, and regenerative medicine.
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Interdisciplinary Approach: Combines mathematics, physics, and biology for a holistic understanding of morphogenesis.
The book includes detailed descriptions of finite element models, agent-based simulations, and continuum mechanics applied to biological tissues. It also provides visualizations, computational frameworks, and step-by-step examples that help researchers adapt these models to their own work.
