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Systems Biology of Parkinson's Disease

by Mathieu Cloutier Peter Wellstead

The Systems Biology of Parkinson's Disease will be underpinned by new measurement techniques. This is particularly true of the pathology of Parkinson's Disease, where recent developments in brain imaging have offered new insights into the morphology of dopaminergic neurons that have profound implications for the special vulnerability and role of this class of neurons.

Systems Biology of Tuberculosis

by Dany J.V. Beste Johnjoe Mcfadden Andrzej M. Kierzek

The book starts with a general introduction into the relevance of systems biology for understanding tuberculosis. This will be followed by several chapters which describe the application of systems biology to various aspects of the study of the pathogen, Mycobacterium tuberculosis, and its interaction with the host. The book provides the reader with an account of how the new science of systems biology is providing novel insights into the ancient scourge of tuberculosis. It will also describe how systems biology can be applied to the control of tuberculosis, including the development of new treatments, vaccines and diagnostics.

Systems Biology of Tumor Dormancy

by Heiko Enderling Nava Almog Lynn Hlatky

This volume is based on the Workshop on Systems Biology of Tumor Dormancy meeting, held July 25th to July 28th, 2011. The first annual CCSB workshop brought together biologists, clinicians, mathematicians, and computer scientists to discuss various aspects of tumor dormancy and develop novel mathematical/computational models with the keynote speakers. Specific topics included the angiogenic switch, immune system interactions, cancer stem cells and signaling.

Systems Biology of Tumor Physiology

by David H. Nguyen

This exciting SpringerBrief presents evidence for new ideas that will challenge several theories of how cancer biology is understood. Cancer biology has undergone several intellectual revolutions in the past 50 years. A mutation-centric view of cancer has given way to the tumor microenvironment view. Reductionistic studies of one gene at a time have given way to systems biology approaches that analyze the whole genome (omics) at the same time. However, this text combines the complex levels studying cancer at the molecular biology level, endocrinology level, and transcriptomics level. What researchers are now realizing is that there is a need to combine omics with physiology concepts in order to better understand cancer and this book will give insight to the merging of these two fields in order to define how cancer is studied in the future.

Systems Biology Volume 1: Integrative Biology and Simulation Tools

by Bela Csukas Aleš Prokop

Growth in the pharmaceutical market has slowed down - almost to a standstill. One reason is that governments and other payers are cutting costs in a faltering world economy. But a more fundamental problem is the failure of major companies to discover, develop and market new drugs. Major drugs losing patent protection or being withdrawn from the market are simply not being replaced by new therapies - the pharmaceutical market model is no longer functioning effectively and most pharmaceutical companies are failing to produce the innovation needed for success. This multi-authored new book looks at a vital strategy which can bring innovation to a market in need of new ideas and new products: Systems Biology (SB). Modeling is a significant task of systems biology. SB aims to develop and use efficient algorithms, data structures, visualization and communication tools to orchestrate the integration of large quantities of biological data with the goal of computer modeling. It involves the use of computer simulations of biological systems, such as the networks of metabolites comprise signal transduction pathways and gene regulatory networks to both analyze and visualize the complex connections of these cellular processes. SB involves a series of operational protocols used for performing research, namely a cycle composed of theoretical, analytic or computational modeling to propose specific testable hypotheses about a biological system, experimental validation, and then using the newly acquired quantitative description of cells or cell processes to refine the computational model or theory.

Systems Biomedicine Approaches in Cancer Research

by Shailza Singh

This book presents the applications of systems biology and synthetic biology in cancer medicine. It highlights the use of computational and mathematical models to decipher the complexity of cancer heterogeneity. The book emphasizes the modeling approaches for predicting behavior of cancer cells, tissues in context of drug response, and angiogenesis. It introduces cell-based therapies for the treatment of various cancers and reviews the role of neural networks for drug response prediction. Further, it examines the system biology approaches for the identification of medicinal plants in cancer drug discovery. It explores the opportunities for metabolic engineering in the realm of cancer research towards development of new cancer therapies based on metabolically derived targets. Lastly, it discusses the applications of data mining techniques in cancer research. This book is an excellent guide for oncologists and researchers who are involved in the latest cancer research.

Systems Consultation and Change in Schools: Integrating Implementation Science into Practice

by Leah M. Nellis Pamela A. Fenning

This book explores the ways in which systems (organizational) consultation may be applied to school roles and functions as part of an overall systems change process. Using an implementation science framework grounded in systems/organizational consultation research, the volume details how school reform or improvement may be facilitated. School-based case studies illustrate the application of implementation science to systems change efforts in schools and districts across the United States. Each case study describes the implementation science steps taken to deliver a school-based innovation at the systems level. The book discusses implementation science theory combined with real-world examples of its use in planning for, implementing, and engaging in ongoing evaluation of a systems change effort. Key areas of coverage include:Implementation science in educational settings.Key stakeholder roles in school-based systems change.Implementing and evaluating systems change in schools.Teacher-student mediation to reduce conflict and ensure effective school discipline and behavior practices.District-level processes and supports for English Language Learners.Mental health screening and social-emotional well-being of students. Systems Consultation and Change in Schools is an essential resource for researchers, professors, and graduate students as well as scientist-practitioners, school-based practitioners, and clinicians across such disciplines as school administration and leadership, school and clinical child psychology, social work, public health, teaching and teacher education, educational policy and practice, and all interrelated fields.

Systems Design for Remote Healthcare

by Koushik Maharatna Silvio Bonfiglio

This book provides a multidisciplinary overview of the design and implementation of systems for remote patient monitoring and healthcare. Readers are guided step-by-step through the components of such a system and shown how they could be integrated in a coherent framework for deployment in practice. The authors explain planning from subsystem design to complete integration and deployment, given particular application constraints. Readers will benefit from descriptions of the clinical requirements underpinning the entire application scenario, physiological parameter sensing techniques, information processing approaches and overall, application dependent system integration. Each chapter ends with a discussion of practical design challenges and two case studies are included to provide practical examples and design methods for two remote healthcare systems with different needs.

Systems Engineering to Improve Traumatic Brain Injury Care in the Military Health System: Workshop Summary

by Institute of Medicine

This book makes a strong case for taking advantage of the best of two disciplines--health care and operational systems engineering (a combination of science and mathematics to describe, analyze, plan, design, and integrate systems with complex interactions among people, processes, materials, equipment, and facilities)-to improve the efficiency and quality of health care delivery, as well as health care outcomes. Those most interested in pursuing this approach include leaders in the U.S. Department of Defense (DOD) and Department of Veterans Affairs, who are committed to finding ways of improving the quality of care for military personnel, veterans, and their families. Intrigued by the possibilities, DOD decided to sponsor a series of workshops to explore the potential of operational systems engineering principals and tools for military health care, beginning with the diagnosis and care of traumatic brain injury (TBI), one of the most prevalent, difficult and challenging injuries suffered by warriors in Iraq and Afghanistan.

Systems for Drug Delivery

by Saurabh Bhatia

This book details current developments in all natural polymers, with a focus on animal and microbial polysaccharides. The book examines, compares, and contrasts the efficiency of plant and algae based natural polymers in inducing immune reactions. Additionally, the book details the safety and toxicity profiles with respective regulations.

Systems for Research and Evaluation for Translating Genome-Based Discoveries for Health: Workshop Summary

by Institute of Medicine of the National Academies

With the advent of genome-wide association studies, numerous associations between specific gene loci and complex diseases have been identified--for breast cancer, coronary artery disease, and asthma, for example. This rapidly advancing field of genomics has stirred great interest in "personalized" health care from both the public and private sectors. The hope is that using genomic information in clinical care will lead to reduced health care costs and improved health outcomes as therapies are tailored to the genetic susceptibilities of patients. A variety of genetically based health care innovations have already reached the marketplace, but information about the clinical use of these treatments and diagnostics is limited. Currently data do not provide information about how a genomic test impacts clinical care and patient health outcomes--other approaches are needed to garner such information. This volume summarizes a workshop to address central questions related to the development of systems to evaluate clinical use of health care innovations that stem from genome-based research: What are the practical realities of creating such systems? What different models could be used? What are the strengths and weaknesses of each model? How effectively can such systems address questions about health outcomes?

Systems Immunology: An Introduction to Modeling Methods for Scientists (Foundations of Biochemistry and Biophysics)

by Jayajit Das Ciriyam Jayaprakash

"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.

Systems Leadership in Health and Social Care

by John Edmonstone

Most leadership development activity in health and social care has been intra-organisational or confined to a particular sector. However, there is increasing recognition of the need to move beyond simple collaboration and partnership and work towards different models of care which involve addressing the whole health and social care system. This is particularly important when addressing complex and 'wicked' problems in a time of resource scarcity. This book provides a much-needed guide for individuals, professionals, and organisations making the shift towards working in radically different ways in this current climate. It provides a rationale for systems leadership, describing the basic underlying principles behind it and their origins, and explores the various aspects of it, with particular emphasis on the development of systems leaders in health and social care. It also captures good practice, which is illustrated by a number of case studies, and suggests further reading on the topic. Combining theory with practice, this book will be essential reading for those studying on courses in public service, public policy, health and social care, as well as policymakers and professionals interested in honing best practice.

Systems Medicine: Physiological Circuits and the Dynamics of Disease (Chapman & Hall/CRC Computational Biology Series)

by Uri Alon

Why do we get certain diseases, whereas other diseases do not exist? In this book, Alon, one of the founders of systems biology, builds a foundation for systems medicine. Starting from basic laws, the book derives why physiological circuits are built the way they are. The circuits have fragilities that explain specific diseases and offer new strategies to treat them. By the end, the reader will be able to use simple and powerful mathematical models to describe physiological circuits. The book explores, in three parts, hormone circuits, immune circuits, and aging and age-related disease. It culminates in a periodic table of diseases. Alon writes in a style accessible to a broad range of readers - undergraduates, graduates, or researchers from computational or biological backgrounds. The level of math is friendly and the math can even be bypassed altogether. For instructors and readers who want to go deeper, the book includes dozens of exercises that have been rigorously tested in the classroom

Systems Medicine (Methods in Molecular Biology #2486)

by Jane P. F. Bai Junguk Hur

This volume explores the latest technological advances and covers all facets of systems medicine with respect to precision medicine. The chapters in this book are organized into four parts. Part One highlights the recent achievements in proteomics for biomarkers identification, integration of omics and phenotypic data for precision medicine, and medicine-guided treatment of drug-induced Stevens-Johnson syndrome. Part Two covers systems-based computational approaches for pharmaceutical research and drug development, the principle of optimizing systemic exposure of drugs, and Animal Rule for drug repurposing. Part Three looks at computational tools and methodologies of network biology, quantitative systems toxicology, and modeling and stimulating patient response variabilities. Part Four talks about how systems medicine can address unmet medical and health needs, and identify educational needs. Written in the highly 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 laboratory protocols, and tips on troubleshooting and avoiding known pitfalls.Cutting-edge and thorough, Systems Medicine: Methods and Protocols is a valuable resource for the scientific community that will help researchers work together toward the further advancement of achieving the goal of promoting global health.Chapter 8 is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com

Systems Medicine

by Ulf Schmitz Olaf Wolkenhauer

This volume guides readers through the field of systems medicine by defining the terminology, and describing how established computational methods form bioinformatics and systems biology can be taken forward to an integrative systems medicine approach. Chapters provide an outlook on the role that systems medicine may or should play in various medical fields, and describe different facets of the systems medicine approach in action. Ultimately it introduces tools, resources and methodologies from bioinformatics and systems biology, and how to apply these in a systems medicine project. Written for the Methods in Molecular Biology series, chapters include introductions to their respective topics, and discuss experimental and computational approaches, methods, and tools that should be considered for a successful systems medicine project. Systems Medicine aims to motivate and provide guidance for collaborations across disciplines to tackle today's challenges related to human health and well-being.

Systems Metabolic Engineering

by Christoph Wittmann Sang Yup Lee

Systems Metabolic Engineering is changing the way microbial cell factories are designed and optimized for industrial production. Integrating systems biology and biotechnology with new concepts from synthetic biology enables the global analysis and engineering of microorganisms and bioprocesses at super efficiency and versatility otherwise not accessible. Without doubt, systems metabolic engineering is a major driver towards bio-based production of chemicals, materials and fuels from renewables and thus one of the core technologies of global green growth. In this book, Christoph Wittmann and Sang-Yup Lee have assembled the world leaders on systems metabolic engineering and cover the full story - from genomes and networks via discovery and design to industrial implementation practises. This book is a comprehensive resource for students and researchers from academia and industry interested in systems metabolic engineering. It provides us with the fundaments to targeted engineering of microbial cells for sustainable bio-production and stimulates those who are interested to enter this exiting research field.

Systems Neuroscience (Advances in Neurobiology #21)

by Albert Cheung-Hoi Yu Lina Li

This edition of Advances in Neurobiology brings together experts in the emerging field of Systems Neuroscience to present an overview of this area of research. Topics covered include: how different neural circuits analyze sensory information, form perceptions of the external world, make decisions, and execute movements; how nerve cells behave when connected together to form neural networks; the relationship between molecular and cellular approaches to understanding brain structure and function; the study of high-level mental functions; and studying brain pathologies and diseases with Systems Neuroscience. A hierarchy of biological complexity arises from the genome, transcriptome, proteome, organelles, cells, synapses, circuits, brain regions, the whole brain, and behaviour. The best way to study the brain, the most complex organ in the body composed of 100 billion cells with trillions of interconnections, is with a Systems Biology approach. Systems biology is an inter-disciplinary field that focuses on complex interactions within biological systems to reveal 'emergent properties' - properties of cells and groups of cells functioning as a system whose actual and theoretical description is only possible using Systems Biology techniques.

Systems Neuroscience and Rehabilitation

by Leonardo Cohen Kenji Kansaku

Rapidly growing knowledge in systems neuroscience may contribute to expand the range of activities in persons with disabilities, but in its practical application, cooperation between experts in different research fields is necessary. In this conference, the guest speakers and audiences will be from wide range of research fields; e.g., systems-neuroscience, neurology, engineering, psychology, and the attendees will discuss the possibilities.

Systems of Organization: The control of task and sentient boundaries

by E J Miller A K Rice

Tavistock Press was established as a co-operative venture between the Tavistock Institute and Routledge & Kegan Paul (RKP) in the 1950s to produce a series of major contributions across the social sciences. This volume is part of a 2001 reissue of a selection of those important works which have since gone out of print, or are difficult to locate. Published by Routledge, 112 volumes in total are being brought together under the name The International Behavioural and Social Sciences Library: Classics from the Tavistock Press. Reproduced here in facsimile, this volume was originally published in 1967 and is available individually. The collection is also available in a number of themed mini-sets of between 5 and 13 volumes, or as a complete collection.

Systems Orthodontics: From Clinical Reasoning to Computation, and Back (Understanding Complex Systems)

by Pietro Auconi Guido Caldarelli Antonella Polimeni

This book marks one of the first applications of the Medicine Network discipline to an everyday scenario. It explores situations where patients, often in adolescence, grapple with the decision of whether to commence a treatment, seeking insights into the more plausible future scenarios. Additionally, the specific feedback from biological systems in the human body serves as a potent metaphor for addressing various challenges in the field of Complex Systems. In recent times, systems thinking and complexity theory have yielded substantial conceptual advancements across various research domains. In the context of orthodontics, these approaches offer a more comprehensive understanding in contrast to the traditional mechanistic approach, which primarily focuses on the analysis of applied forces. Systems thinking directs attention to the interaction among dentoskeletal components, where the behavior of one element can influence others. The amalgamation of multiple elements leads to entities with properties distinct from those of individual components. The increasing complexity of orthodontic reality beyond clinical or radiological observations necessitates the development of new theories. Complexity theory has demonstrated that emergent properties in biological systems can be discerned through appropriate computational models, as opposed to the analytical study of individual components. The central metaphor for the interactive craniofacial system during growth is portrayed by the facial topology revealed through network analysis, facilitating a systemic reevaluation of traditional orthodontic theories. This book delineates the novel insights derived from the clinical-computational approach, applicable for a prognostic and early interception perspective in managing dentofacial dysmorphoses. Its objective is to captivate practitioners and persuade them of the practical utility of these innovative approaches.

Systems Pharmacology and Pharmacodynamics

by Donald E. Mager Holly H.C. Kimko

While systems biology and pharmacodynamics have evolved in parallel, there are significant interrelationships that can enhance drug discovery and enable optimized therapy for each patient. Systems pharmacology is the relatively new discipline that is the interface between these two methods. This book is the first to cover the expertise from systems biology and pharmacodynamics researchers, describing how systems pharmacology may be developed and refined further to show practical applications in drug development. There is a growing awareness that pharmaceutical companies should reduce the high attrition in the pipeline due to insufficient efficacy or toxicity found in proof-of-concept and/or Phase II studies. Systems Pharmacology and Pharmacodynamics discusses the framework for integrating information obtained from understanding physiological/pathological pathways (normal body function system vs. perturbed system due to disease) and pharmacological targets in order to predict clinical efficacy and adverse events through iterations between mathematical modeling and experimentation.

Systems Practices for the Care of Socially At-Risk Populations

by National Academies of Sciences Engineering Medicine

The Centers for Medicare & Medicaid Services (CMS) have been moving from volume-based, fee-for-service payment to value-based payment (VBP), which aims to improve health care quality, health outcomes, and patient care experiences, while also controlling costs. Since the passage of the Patient Protection and Affordable Care Act of 2010, CMS has implemented a variety of VBP strategies, including incentive programs and risk-based alternative payment models. Early evidence from these programs raised concerns about potential unintended consequences for health equity. Specifically, emerging evidence suggests that providers disproportionately serving patients with social risk factors for poor health outcomes (e.g., individuals with low socioeconomic position, racial and ethnic minorities, gender and sexual minorities, socially isolated persons, and individuals residing in disadvantaged neighborhoods) may be more likely to fare poorly on quality rankings and to receive financial penalties, and less likely to receive financial rewards. The drivers of these disparities are poorly understood, and differences in interpretation have led to divergent concerns about the potential effect of VBP on health equity. Some suggest that underlying differences in patient characteristics that are out of the control of providers lead to differences in health outcomes. At the same time, others are concerned that differences in outcomes between providers serving socially at-risk populations and providers serving the general population reflect disparities in the provision of health care. Systems Practices for the Care of Socially At-Risk Populations seeks to better distinguish the drivers of variations in performance among providers disproportionately serving socially at-risk populations and identifies methods to account for social risk factors in Medicare payment programs. This report identifies best practices of high-performing hospitals, health plans, and other providers that serve disproportionately higher shares of socioeconomically disadvantaged populations and compares those best practices of low-performing providers serving similar patient populations. It is the second in a series of five brief reports that aim to inform the Office of the Assistant Secretary of Planning and Evaluation (ASPE) analyses that account for social risk factors in Medicare payment programs mandated through the Improving Medicare Post-Acute Care Transformation (IMPACT) Act.

Systems Theories for Psychotherapists: From Theory to Practice

by Michael D. Reiter

<p><i>Systems Theories for Psychotherapists</i> explores three key theories that underpin many of the models of psychotherapy: general systems theory, natural systems theory, and language systems theory. The book presents the aesthetics (how to see and understand what is happening) and the pragmatics (what to do in the therapy room) behind each theory. It also explores how therapists can successfully conceptualize the problems that clients bring to therapy, offering a range of contemporary examples to show how each theory can be applied to practice. <p>Starting with an introduction to systems theories, the book then delves into cybernetics, interactional systems, natural systems, constructivist theory, and social construction theory. Each chapter uses a distinctive case example to help clinicians to better understand and apply the theories to their own therapeutic setting. Woven throughout the book are three helpful learning tools: "Applying Your Knowledge," "Key Figure," and "Questions for Reflection," providing the reader with the opportunity to critically engage with each concept, consider how their own world view and preconceptions can inform their work with clients, and challenging them to apply prominent systems theories to their own practice. <p><i>Systems Theories for Psychotherapists</i> is a clear and valuable text for undergraduate and graduate students in mental health programs, including counseling, marriage and family therapy, social work and clinical psychology, as well as for all practicing clinicians.</p>

Systems Theory and the Sociology of Health and Illness: Observing Healthcare

by Morten Knudsen Werner Vogd

Modern societies and organizations are characterized by multiple kinds of observations, systems, or rationalities, rather than singular identities and clear hierarchies. This holds true for healthcare where we find a range of different perspectives – from medicine to education, from science to law, from religion to politics – brought together in different types of arrangements. This innovative volume explores how this polycontexturality plays out in the healthcare arena. Drawing on systems theory, and Luhmann’s theory of social systems as communicative systems in particular, the contributors investigate how things – drugs, for example – and bodies are observed and constructed in different ways under polycontextural conditions. They explore how the different types of communication and observation are brought into workable arrangements – without becoming identical or reconciled – and discuss how health care organizations observe their own polycontexturality. Providing an analysis of healthcare structures that is up to speed with the complexity of healthcare today, this book shows how society and its organizations simultaneously manage contexts that do not fit together. It is an important work for those with an interest in health and illness, social theory, Niklas Luhmann, organizations and systems theory from a range of backgrounds including sociology, health studies, political science and management.

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Showing 54,401 through 54,425 of 60,203 results