Mathematical Computational And Experimental T Cell Immunology
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Mathematical Computational And Experimental T Cell Immunology
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Author : Carmen Molina-París
language : en
Publisher: Springer Nature
Release Date : 2021-01-04
Mathematical Computational And Experimental T Cell Immunology written by Carmen Molina-París and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-01-04 with Medical categories.
Mathematical, statistical, and computational methods enable multi-disciplinary approaches that catalyse discovery. Together with experimental methods, they identify key hypotheses, define measurable observables and reconcile disparate results. This volume collects a representative sample of studies in T cell immunology that illustrate the benefits of modelling-experimental collaborations and which have proven valuable or even ground-breaking. Studies include thymic selection, T cell repertoire diversity, T cell homeostasis in health and disease, T cell-mediated immune responses, T cell memory, T cell signalling and analysis of flow cytometry data sets. Contributing authors are leading scientists in the area of experimental, computational, and mathematical immunology. Each chapter includes state-of-the-art and pedagogical content, making this book accessible to readers with limited experience in T cell immunology and/or mathematical and computational modelling.
Killer Cell Dynamics
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Author : Dominik Wodarz
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-04-05
Killer Cell Dynamics written by Dominik Wodarz and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-04-05 with Mathematics categories.
Systems biology and computational biology have recently become prominent areas of research in the biomedical community, especially in the area of cell biology. Given that much information on genes and their protein products has become available, the big question is how the individual components interact and work together, and how this determines the functioning of cells, organs, and organisms. Long before the popularity of systems biology in biomedicine, however, such approaches have been used successfully in a di?erent area of biology: population ecology. Research in the area of population dynamics - vestigated complex interactions between di?erent populations of organisms, such as the dynamics of competition and predation, food webs, community structure, as well as the epidemiology of infectious diseases. In this ?eld, t- oretical biology and mathematical modeling have become an integral part of research. Mathematical models allowed people to obtain interesting and counter-intuitive insights into how complex interactions among di?erent p- ulations can play out. Such mathematical studies not only gave rise to - teresting theoretical ideas, but also provided the basis for the design of new experimental work and de?ned major questions and directions of research. Around 1990, such population dynamic concepts, and the use of mathema- cal/computational approaches, started to be applied to the in vivo dynamics between viruses and the immune system. These interactions have many s- ilarities to ecological, epidemiological, and evolutionary principles. Consider theepidemiologicalspreadofapathogen(suchasthecommoncold)througha population of hosts.
Systems Immunology
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Author : Jayajit Das
language : en
Publisher: CRC Press
Release Date : 2018-09-03
Systems Immunology written by Jayajit Das and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-03 with Science categories.
"Taken together, the body of information contained in this book provides readers with a bird’s-eye view of different aspects of exciting work at the convergence of disciplines that will ultimately lead to a future where we understand how immunity is regulated, and how we can harness this knowledge toward practical ends that reduce human suffering. I commend the editors for putting this volume together." –Arup K. Chakraborty, Robert T. Haslam Professor of Chemical Engineering, and Professor of Physics, Chemistry, and Biological Engineering, Massachusetts Institute of Technology, Cambridge, USA New experimental techniques in immunology have produced large and complex data sets that require quantitative modeling for analysis. This book provides a complete overview of computational immunology, from basic concepts to mathematical modeling at the single molecule, cellular, organism, and population levels. It showcases modern mechanistic models and their use in making predictions, designing experiments, and elucidating underlying biochemical processes. It begins with an introduction to data analysis, approximations, and assumptions used in model building. Core chapters address models and methods for studying immune responses, with fundamental concepts clearly defined. Readers from immunology, quantitative biology, and applied physics will benefit from the following: Fundamental principles of computational immunology and modern quantitative methods for studying immune response at the single molecule, cellular, organism, and population levels. An overview of basic concepts in modeling and data analysis. Coverage of topics where mechanistic modeling has contributed substantially to current understanding. Discussion of genetic diversity of the immune system, cell signaling in the immune system, immune response at the cell population scale, and ecology of host-pathogen interactions.
Computational Immunology
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Author : Shyamasree Ghosh
language : en
Publisher: CRC Press
Release Date : 2020-01-31
Computational Immunology written by Shyamasree Ghosh and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-01-31 with Medical categories.
Computational Immunology: Applications focuses on different mathematical models, statistical tools, techniques, and computational modelling that helps in understanding complex phenomena of the immune system and its biological functions. The book also focuses on the latest developments in computational biology in designing of drugs, targets, biomarkers for early detection and prognosis of a disease. It highlights the applications of computational methods in deciphering the complex processes of the immune system and its role in health and disease. This book discusses the most essential topics, including Next generation sequencing (NGS) and computational immunology Computational modelling and biology of diseases Drug designing Computation and identification of biomarkers Application in organ transplantation Application in disease detection and therapy Computational methods and applications in understanding of the invertebrate immune system S Ghosh is MSc, PhD, PGDHE, PGDBI, is PhD from IICB, CSIR, Kolkata, awarded the prestigious National Scholarship from the Government of India. She has worked and published extensively in glycobiology, sialic acids, immunology, stem cells and nanotechnology. She has authored several publications that include books and encyclopedia chapters in reputed journals and books.
Mathematical Immunology Of Virus Infections
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Author : Gennady Bocharov
language : en
Publisher: Springer
Release Date : 2018-06-12
Mathematical Immunology Of Virus Infections written by Gennady Bocharov and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-06-12 with Mathematics categories.
This monograph concisely but thoroughly introduces the reader to the field of mathematical immunology. The book covers first basic principles of formulating a mathematical model, and an outline on data-driven parameter estimation and model selection. The authors then introduce the modeling of experimental and human infections and provide the reader with helpful exercises. The target audience primarily comprises researchers and graduate students in the field of mathematical biology who wish to be concisely introduced into mathematical immunology.
Mathematical Modeling Of The Immune System In Homeostasis Infection And Disease
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Author : Gennady Bocharov
language : en
Publisher: Frontiers Media SA
Release Date : 2020-02-24
Mathematical Modeling Of The Immune System In Homeostasis Infection And Disease written by Gennady Bocharov and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-02-24 with categories.
The immune system provides the host organism with defense mechanisms against invading pathogens and tumor development and it plays an active role in tissue and organ regeneration. Deviations from the normal physiological functioning of the immune system can lead to the development of diseases with various pathologies including autoimmune diseases and cancer. Modern research in immunology is characterized by an unprecedented level of detail that has progressed towards viewing the immune system as numerous components that function together as a whole network. Currently, we are facing significant difficulties in analyzing the data being generated from high-throughput technologies for understanding immune system dynamics and functions, a problem known as the ‘curse of dimensionality’. As the mainstream research in mathematical immunology is based on low-resolution models, a fundamental question is how complex the mathematical models should be? To respond to this challenging issue, we advocate a hypothesis-driven approach to formulate and apply available mathematical modelling technologies for understanding the complexity of the immune system. Moreover, pure empirical analyses of immune system behavior and the system’s response to external perturbations can only produce a static description of the individual components of the immune system and the interactions between them. Shifting our view of the immune system from a static schematic perception to a dynamic multi-level system is a daunting task. It requires the development of appropriate mathematical methodologies for the holistic and quantitative analysis of multi-level molecular and cellular networks. Their coordinated behavior is dynamically controlled via distributed feedback and feedforward mechanisms which altogether orchestrate immune system functions. The molecular regulatory loops inherent to the immune system that mediate cellular behaviors, e.g. exhaustion, suppression, activation and tuning, can be analyzed using mathematical categories such as multi-stability, switches, ultra-sensitivity, distributed system, graph dynamics, or hierarchical control. GB is supported by the Russian Science Foundation (grant 18-11-00171). AM is also supported by grants from the Spanish Ministry of Economy, Industry and Competitiveness and FEDER grant no. SAF2016-75505-R, the “María de Maeztu” Programme for Units of Excellence in R&D (MDM-2014-0370) and the Russian Science Foundation (grant 18-11-00171).
Mathematical Modeling And Computational Predictions In Oncoimmunology
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Author : Vladimir A. Kuznetsov
language : en
Publisher: Frontiers Media SA
Release Date : 2024-06-06
Mathematical Modeling And Computational Predictions In Oncoimmunology written by Vladimir A. Kuznetsov and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-06 with Medical categories.
Cancer is a complex adaptive dynamic system that causes both local and systemic failures in the patient. Cancer is caused by a number of gain-of-function and loss-of-function events, that lead to cells proliferating without control by the host organism over time. In cancer, the immune system modulates cancer cell population heterogeneity and plays a crucial role in disease outcomes. The immune system itself also generates multiple clones of different cell types, with some clones proliferating quickly and maturing into effector cells. By creating regulatory signals and their networks, and generating effector cells and molecules, the immune system recognizes and kills abnormal cells. Anti-cancer immune mechanisms are realized as multi-layer, nonlinear cellular and molecular interactions. A number of factors determine the outcome of immune system-tumor interactions, including cancer-associated antigens, immune cells, and host organisms.
Systems Biology And In Depth Applications For Unlocking Diseases
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Author : Babak Sokouti
language : en
Publisher: Elsevier
Release Date : 2024-11-05
Systems Biology And In Depth Applications For Unlocking Diseases written by Babak Sokouti and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-05 with Science categories.
Systems Biology and In-Depth Applications for Unlocking Diseases provides the essence of systems biology approaches in a practical manner illustrating the basic principles essential to develop and model in real life science applications. Methodologies covered show how to interrogate biological data, with the purpose of obtaining insight about disease diagnosis, prognosis, and treatment.Systematically written in 4 parts, this book first provides an introduction and history of systems biology; second, it provides the tools and resources needed for the structure and function of biological systems; next, it provides the evidence of systems biology in action to better understand disease connections; and finally, it provides the extensions of systems biology in various scientific fields including pharmacology, immunology, vaccinology, neuroscience, virology, and medicine. Examples include big data techniques, scale networks, mathematical model development, and much more.This is the perfect reference to provide the fundamental base of knowledge needed for systems biologists, professionals in systems medicine, computational biologists, and bioinformaticians, whether needed for immediate application or for building a comprehensive understanding of the field. - Provides detailed and comprehensive coverage of the field of systems biology - Delivers instruction on how to interrogate biological data, with the purpose of obtaining insight about disease diagnosis, prognosis, and treatment - Makes effective steps towards personalized medicine in the treatment of disease - Explains effective disease treatment strategies at early diagnosis stages
Multidisciplinary Approaches To Theory In Medicine
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Author : Ray Paton
language : en
Publisher: Elsevier
Release Date : 2006
Multidisciplinary Approaches To Theory In Medicine written by Ray Paton and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with Computers categories.
This volume will be a collection of chapters from authors with wide experience in their research field. The purpose is to produce a coherent book that reflects the common theme of theory in medical thinking and multidisciplinary research practice. In this context "theory" relates to frameworks of concepts, facts, models etc that help to inform practitioners (clinicians, scientists and engineers) both within their own fields and as they seek to share dialogue with colleagues from other fields. Multidisciplinary Approaches to Theory in Medicine will therefore be integrative across a broad spectrum of fields within medicine. To achieve this the chapters will be associated with others in a number of meaningful ways. Each chapter will share a number of points of contact that will include at least two of the following: Similar biomedical area (e.g., immunity, neuroscience, endocrinology, pathology, oncology, haematology, .) Similar multidisciplinary theoretical contexts (e.g., modelling, analysis, description, visualization, complex systems, .) Similar multidisciplinary medical issues and questions (e.g., clinical practice, decision making, informatics, .) Uniquely explores role of interdisciplinary exchange in the development and expansion of medical theory Timely and insightful essays on the growth and development of medical theories from some of the world's top clinicians and medical researchers, including Werner Arber, Frank Vertosick, and David Weatherall Assembles diverse perspectives on medicine and physiology from biology, statistics, ethics, computer science, philosophy, history Uniquely illuminates the social and historical processes through which theoretical research translates into clinical practice Reveals the growing role of technology, especially computational modelling, in changing the nature of Western medicine
Organoids Organs On Chip Nanoparticles And In Silico Approaches To Dissect The Tumorimmune Dynamics And To Unveil The Drug Resistance Mechanisms To Therapy In The Tumor Microenvironment
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Author : Fabrizio Mattei
language : en
Publisher: Frontiers Media SA
Release Date : 2023-08-03
Organoids Organs On Chip Nanoparticles And In Silico Approaches To Dissect The Tumorimmune Dynamics And To Unveil The Drug Resistance Mechanisms To Therapy In The Tumor Microenvironment written by Fabrizio Mattei and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-08-03 with Medical categories.