Understanding Living Systems

Understanding Living Systems presents an integrated approach, covering mathematics, physics, computer science, biology and medicine. In this novel approach, the physiological structure is modeled at the level of n-categories (n-categories, n-functors, n-natural transformations, n-adjunctions etc.), the dynamics is modeled at the level of (n+h)-categories, and the evolution is modeled at the level of (n+h+k)categories. The pathological structure is modeled at the level of n-categories (n+n')-categories, the pathological repaired dynamics is modeled at the level of (n+n' + h+h')-categories and the pathological evolution is modeled at the level of (n+n' + h+ h' + k+k')-categories. This new approach advances the field of computational modeling for biomedical engineers, computer scientists, physicians and mathematical researchers. Presents the principles and methods of modeling living systems to provide a solid foundation for understanding the fieldDiscusses symmetries and categorical modeling in fields such molecular biology, genetics and epigenetics, homeostatis and immune response, as well as the biomedical engineering applications of the models in these various areasProvides complete coverage of biomedical interaction networks in fields such as Psycho-Neuro-Endocrine-Immune interactions, neurons and brain categorical interactions, as well as natural and enatural interactions, along with the biomedical engineering applications of models in these areas INDICE: Part 1 Modeling of Living Systems: Principles and methods 1. Modeling Principles 2. Modeling methods 3. Related methods: A Category Theory perspective Part 2 Living Systems, Symmetries and Categorical Simplexity 3. Molecular biology in InterCategories 4. Genetics and Epigenetics in InterCategories 5. Homeostasis, Feedback and Adjunctions 6. Immune System Response to Cancer and Categorical Triality Part 3 Categorical Interactions Networks 7. Neurons and Brain Categorical Interactions Networks 8. Psycho-Neuro-Endocrine-Immune Categorical Interactions Networks 9. Categorical Interactions Networks of Intelligent Systems

• ISBN: 978-0-12-821951-5
• Editorial: Academic Press
• Encuadernacion: Rústica
• Páginas: 232
• Fecha Publicación: 01/06/2022
• Nº Volúmenes: 1
• Idioma: Inglés