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Integrative Approaches to the Molecular Physiology of Inflammation
"Integrative Approaches to the Molecular Physiology of Inflammation" presents contributions from the many different fields and approaches to the physiology and the molecular origins of inflammation; particularly those that may be involved in the development and evolution of diseased phenotypes. We selected among the wide scope and multiple views used to probe into the molecular origins of complex inflammatory phenotypes. This book consists of an Introductory Editorial and 6 thematic chapters encompassing 24 articles: 17 original research contributions and 7 review articles (5 reviews, 1 systematic review, and 1 minireview). Both, the research papers and the reviews provide varied and insightful approaches to different facets of inflammation with approaches ranging from general inflammation and signaling depictions deeply rooted on functional biology and physiology, to computational systems biology analyses, translational medicine, and pharmacological explorations. Model systems are also quite diverse: human subjects, mice and other mammal models, cell cultures and in silico, complex networks and database studies.
Mathematical Modeling, Simulations, and AI for Emergent Pandemic Diseases
Mathematical Modeling, Simulations, and Artificial Intelligence for Emergent Pandemic Diseases: Lessons Learned from COVID-19 includes new research, models and simulations developed during the COVID-19 pandemic into how mathematical methods and practice can impact future response. Chapters go beyond forecasting COVID-19, bringing different scale angles and mathematical techniques (e.g., ordinary differential and difference equations, agent-based models, artificial intelligence, and complex networks) which could have potential use in modeling other emergent pandemic diseases. A major part of the book focuses on preparing the scientific community for the next pandemic, particularly the applica...
Application of Network Theoretic Approaches in Biology
The biological complexity essentially includes and involves processes that are mediated through explicitly non-linear interactions that are often typically entangled in nature. These comprise a myriad of interactions among a vast number of entities such as genes, proteins, metabolites, and species, widely varying in scale. These interactions render biological systems across spatial and temporal scales as complex adaptive systems having features like: self-organisation, modularity, emergence, non-linear interactions, collective response and adaptation. The theory of complex networks offers an appropriate formal framework for modelling such complex systems. The enormous wealth of biological da...
Neuroblastoma
Tumors of neuroblastoma group are heterogenous and their molecular/genomic properties are closely related to the prognosis of patients: some children enjoy an excellent clinical course after biopsy/surgery alone, and others suffer from a fatal outcome even after an intensive treatment. Recent progress has also started disclosing critical significance of cross-talking between neuroblastoma cells and their microenvironment in predicting clinical behaviors of individual cases. In this book, the world distinguished investigators report clinical and biological characteristics of this disease.
Omics for Personalized Medicine
“Omics for Personalized Medicine” will give to its prospective readers the insight of both the current developments and the future potential of personalized medicine. The book brings into light how the pharmacogenomics and omics technologies are bringing a revolution in transforming the medicine and the health care sector for the better. Students of biomedical research and medicine along with medical professionals will benefit tremendously from the book by gaining from the diverse fields of knowledge of new age personalized medicine presented in the highly detailed chapters of the book. The book chapters are divided into two sections for convenient reading with the first section covering...
