Computational Biomechanics for Medicine: Solid and fluid mechanics for the benefit of patients contributions and papers from the MICCAI Computational Biomechanics for Medicine Workshop help in conjunction with Medical Image Computing and Computer Assisted Intervention conference (MICCAI 2020) in Lima, Peru. The content is dedicated to research in the field of methods and applications of computational biomechanics to medical image analysis, image-guided surgery, surgical simulation, surgical intervention planning, disease prognosis and diagnostics, analysis of injury mechanisms, implant and prostheses design, as well as artificial organ design and medical robotics. This book appeals to researchers, students and professionals in the field.

This book highlights the concordance between signaling pathways that are involved in obesity and cancer cross-talks. It describes the role of cytokines, chemokines, growth factors, insulin, and adipokines in the development of obesity-associated cancers. The book reviews the role of inflammatory signaling pathways such as estrogen-mediated signaling, mTOR and AMP-activated protein kinase pathway and the involvement of adaptive and innate immunity, oxidative stress, gene polymorphism, dietary phytochemicals, and miRNAs in obesity and cancer. In addition, it covers the latest research on the drugs and natural therapeutic agents that target obesity-induced cancers and discusses various in vivo models for studying obesity and obesity-associated cancer. Lastly, it analyses the role of genetic polymorphisms in the obesity-related genes that influence cancer development. The book is a useful resource for researchers in the field of cancer, pharmacology, food chemistry, and clinical biochemistry.

This thorough book collects methods and strategies to analyze proteomics data. It is intended to describe how data obtained by gel-based or gel-free proteomics approaches can be inspected, organized, and interpreted to extrapolate biological information. Organized into four sections, the volume explores strategies to analyze proteomics data obtained by gel-based approaches, different data analysis approaches for gel-free proteomics experiments, bioinformatic tools for the interpretation of proteomics data to obtain biological significant information, as well as methods to integrate proteomics data with other omics datasets including genomics, transcriptomics, metabolomics, and other types of data. Written for the highly successful Methods in Molecular Biology series, chapters include the kind of detailed implementation advice that will ensure high quality results in the lab. Authoritative and practical, Proteomics Data Analysis serves as an ideal guide to introduce researchers, both experienced and novice, to new tools and approaches for data analysis to encourage the further study of proteomics. Chapter 16 is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

This book is the first overview on Deep Learning (DL) for biomedical data analysis. It surveys the most recent techniques and approaches in this field, with both a broad coverage and enough depth to be of practical use to working professionals. This book offers enough fundamental and technical information on these techniques, approaches and the related problems without overcrowding the reader's head. It presents the results of the latest investigations in the field of DL for biomedical data analysis. The techniques and approaches presented in this book deal with the most important and/or the newest topics encountered in this field. They combine fundamental theory of Artificial Intelligence (AI), Machine Learning (ML) and DL with practical applications in Biology and Medicine. Certainly, the list of topics covered in this book is not exhaustive but these topics will shed light on the implications of the presented techniques and approaches on other topics in biomedical data analysis. The book finds a balance between theoretical and practical coverage of a wide range of issues in the field of biomedical data analysis, thanks to DL. The few published books on DL for biomedical data analysis either focus on specific topics or lack technical depth. The chapters presented in this book were selected for quality and relevance. The book also presents experiments that provide qualitative and quantitative overviews in the field of biomedical data analysis. The reader will require some familiarity with AI, ML and DL and will learn about techniques and approaches that deal with the most important and/or the newest topics encountered in the field of DL for biomedical data analysis. He/she will discover both the fundamentals behind DL techniques and approaches, and their applications on biomedical data. This book can also serve as a reference book for graduate courses in Bioinformatics, AI, ML and DL. The book aims not only at professional researchers and practitioners but also graduate students, senior undergraduate students and young researchers. This book will certainly show the way to new techniques and approaches to make new discoveries.

Artificial intelligence (AI) has become pervasive in most areas of research and applications. While computation can significantly reduce mental efforts for complex problem solving, effective computer algorithms allow continuous improvement of AI tools to handle complexity-in both time and memory requirements-for machine learning in large datasets. Meanwhile, data science is an evolving scientific discipline that strives to overcome the hindrance of traditional skills that are too limited to enable scientific discovery when leveraging research outcomes. Solutions to many problems in medicine and life science, which cannot be answered by these conventional approaches, are urgently needed for society. This edited book attempts to report recent advances in the complementary domains of AI, computation, and data science with applications in medicine and life science. The benefits to the reader are manifold as researchers from similar or different fields can be aware of advanced developments and novel applications that can be useful for either immediate implementations or future scientific pursuit. Features: Considers recent advances in AI, computation, and data science for solving complex problems in medicine, physiology, biology, chemistry, and biochemistry Provides recent developments in three evolving key areas and their complementary combinations: AI, computation, and data science Reports on applications in medicine and physiology, including cancer, neuroscience, and digital pathology Examines applications in life science, including systems biology, biochemistry, and even food technology This unique book, representing research from a team of international contributors, has not only real utility in academia for those in the medical and life sciences communities, but also a much wider readership from industry, science, and other areas of technology and education.

This volume presents readers with up-to-date protocols, bioinformatics toolkits, and reference material for understanding circRNAs in plants. The chapters in this book summarize the concepts and techniques for prediction/identification, validation, and analysis of plant circRNAs and their regulatory targets. Some of the topics covered are procedures for circRNA identification and characterization; strategies for circRNA generation; next generation sequencing (NGS) technologies and circRNAs' research; and bioinformatics tools and pipelines for the analysis of circRNA-miRNA-mRNA regulatory networks. 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. Authoritative and practical, Plant Circular RNAs: Methods and Protocols is an important reference for any researcher looking to explore and apply the latest developments made in this field.

Assembling the work of an international panel of researchers, Mass Spectrometry of Nucleosides and Nucleic Acids summarizes and reviews the latest developments in the field and provides a window on the next generation of analysis. Beginning with an overview of recent developments, the book highlights the most popular ionization methods and illustrates the diversity of strategies employed in the characterization and sequencing of DNA and RNA oligomers, nucleosides, nucleotides, and adducts. It describes studies performed on deoxyinosine and its analogues and provides an introduction to tandem mass spectrometry (MS/MS).

Next, the contributors examine mass spectrometric application in the study of cyclic nucleotides in biochemical signal transduction. They analyze urinary modified nucleosides and explore DNA adducts. They discuss isotope labeling of DNA-mass spectrometry (ILD-MS) and examine various uses of electrospray ionization mass spectrometry (ESI-MS). The book reviews recent progress in the direct MS characterization of noncovalent nucleic acid-protein complexes, explores the interaction and ionization of guanidine-derived compounds with highly acidic biomolecules, and examines quantitative identification of nucleic acids via signature digestion products detected using mass spectrometry.

The book describes a direct-infusion ESI-MS approach that can serve as a screening technique for the presence of modified nucleosides from small RNAs. Lastly, it discusses the LC-MS/MS method for the in vitro replication studies on damage-containing DNA substrates, and concludes with an examination of the influence of metal ions on the structure and reactivity of nucleic acids.

The exciting developments in mass spectrometry technology have fueled incredible advances in our understanding of nucleic acids and their complexes. The contributions presented in this volume capture the range of these advances, helping to inspire new findings and avenues of research.

Decades of development of the polymerase chain reaction (PCR) have yielded a significant array of associated techniques that make it possible to rapidly detect low numbers of all known pathogenic microorganisms without the traditional, more taxing methods of cultivation and phenotypic characterization. Written by one of the most prolific and respected researchers in food safety, Rapid Detection and Characterization of Foodborne Pathogens by Molecular Techniques describes the application of molecular techniques for the detection and discrimination of major infectious bacteria associated with foods. The book puts a particular focus on genes associated with pathogenicity used in PCR, including real-time PCR for specific detection of pathogenic bacteria and the inherent limitations of such methodology with certain pathogens. It also emphasizes methods for extracting microorganisms from complex food matrices and DNA purification techniques. The coverage begins with a highly comprehensive review of real time PCR, complete with theoretical and operational concepts. Each chapter deals with a specific organism and the techniques applied to that organism. The text includes references on the use of PCR primers and DNA probes, the DNA sequence of each being listed at the end of each chapter to create a complete compendium. This is not a "recipe book", but rather a resource with sufficiently detailed information that allows readers to fully comprehend the methodology described and the significance of the results. Copiously illustrated with figures, tables, charts, and graphs, this is a detailed presentation of the major, contemporary studies involving the molecular detection, quantification, and subspecies differentiation of each organism. With objective assessments of the molecular techniques, their advantages, and limitations, the book allows investigators to readily identify the precise molecular technique and application

Cross-talk between plant and microbe Overview of advanced molecular techniques particular to study plant-microbe interaction Practical guide to technologies such as NGS Omics data analysis particular to study plant-microbe interaction Role of Soil Metagenomics Advanced technologies such as Nanotech and CRISPR serving plant-microbe interaction

While the vast majority of our food supplies are nutritious and safe, foodborne pathogen-related illness still affects millions of people each year. Large outbreaks of foodborne diseases - such as the recent salmonella outbreak linked to various peanut butter products - continue to be reported with alarming frequency. All-Encompassing Guide to Detection Techniques One of the most effective ways to control and prevent human foodborne infections is to implement a pathogen surveillance system. Addressing the biology, epidemiology, and pathogenesis of more than 60 microorganisms, Molecular Detection of Foodborne Pathogens demonstrates how to implement a surveillance system that uses state-of-the-art molecular techniques to quickly detect and identify bacterial, fungal, viral, and parasitic pathogens concerned. Included in each chapter: Concise review of the selected pathogen in respect to its biology, epidemiology, and pathogenesis Summary of molecular detection methods available Description of clinical/food sample collection and preparation procedures Selection of robust, effective, step-by-step detection protocols Discussion of the current challenges and ongoing research needs to further extend utility and performance of molecular diagnostic methods With proven, ready-to-use protocols (including commercial kits), this globally pertinent resource demonstrates how speedy and effective detection methods can lead to more lives saved and a consistently safe, quality, and trustworthy food supply.

Focusing on the roles of different segments of DNA, Statistics in Human Genetics and Molecular Biology provides a basic understanding of problems arising in the analysis of genetics and genomics. It presents statistical applications in genetic mapping, DNA/protein sequence alignment, and analyses of gene expression data from microarray experiments.

The text introduces a diverse set of problems and a number of approaches that have been used to address these problems. It discusses basic molecular biology and likelihood-based statistics, along with physical mapping, markers, linkage analysis, parametric and nonparametric linkage, sequence alignment, and feature recognition. The text illustrates the use of methods that are widespread among researchers who analyze genomic data, such as hidden Markov models and the extreme value distribution. It also covers differential gene expression detection as well as classification and cluster analysis using gene expression data sets.

Ideal for graduate students in statistics, biostatistics, computer science, and related fields in applied mathematics, this text presents various approaches to help students solve problems at the interface of these areas.

One, No One, One Hundred Thousand - The Multifaceted Role of Macrophages in Health and Disease - Part B, Volume 369 provides in-depth reviews on the last progresses on the role of macrophages in health and diseases, with a special focus on the role of macrophages during development. New chapters cover The role of salivary gland macrophages in infection, disease and repair, Reprogramming or replacing brain macrophages to treat neurodegenerative disease, Targeting macrophages for cancer immunotherapy, Heart Macrophages at steady-state and disease: simple bystanders or active players?, Macrophages in the liver, and Developmental programming of macrophages.

Large Animals as Models for Human Diseases, Volume 189 in the Progress in Molecular Biology and Translational Science series, highlights new advances in the field, with this new volume presenting interesting chapters on a variety of important topics, including Sheep as a model for neuroendocrinology research, Relevance of dog as a model for urologic diseases, Relevance of lactocrine hypothesis to human maternal programming of development, Comparative aspects of embryo implantation, Pig as an animal model for obesity, Canine models of cancer, Bovine model for human ovarian diseases, Mutations in G protein-coupled receptors in large animals: Modeling human diseases, and more.

Biomolecular Interactions: Part A, Volume 169, the latest release in the Methods in Cell Biology series, highlights new advances in the field, with this new volume presenting interesting chapters on a variety of timely topics, including Emerging Mechanisms of Targeted Protein Degradation by Molecular Glues, Design and use of programmable DNA Hydrogels, Oligomerization of membrane receptors: Approaches to measure in live cells, Interactions of alpha-synuclein with biomolecules, Gel-electrophoresis based method for biomolecular interaction, Recombinant centrosome expression in bacterial system, Reconstituting CCL5-CCR5 complex for structural and mechanistic analysis, Protein engineering and design in ion channel receptors, and much more.

This new edition explores lab protocols describing new techniques to study cytotoxic T-cells (CTLs), as well as chapters of a more general discursive nature, all with an emphasis on the use of systems biology in immunology. Beginning with phenotypical characterization of CTL populations, the volume continues with in vitro and in vivo cytotoxicity assays, methods to detect senescent T cells, in vivo and in vitro models to understand immune and bone cells cross-talk, microscopy and in vivo imaging, as well as "Omics" approaches and molecular methods, concluding with chapters on CTL involvement in transplantation and link microbiota-immunity. Written for the highly successful Methods in Molecular Biology series, chapters feature the kind of detail and key implementation advice for best results in the lab. Authoritative and up-to-date, Cytotoxic T-Cells: Methods and Protocols, Second Edition serves as an ideal guide for researchers working with these vital cells.

Advances in Biomolecular EPR, Volume 666 in the Methods of Enzymology series, highlights new advances in the field, with this new volume presenting interesting chapters on topics including Magnetic Resonance Characterization of Physiologically Important Metal Ion Binding Sites in the Prion and Related Proteins, The catalytic role of metal-radical/protein-based radicals in heme enzymes, Rigid Cu2+-based spin labels for the study of higher-order DNA G-quadruplex structures, Orthogonal spin labeling and membrane proteins: increasing the information content and going towards in cell applications, Spectroscopic investigation of mono- and di-Mn-containing centers in biochemistry with an emphasis on application of paramagnetic resonance techniques, and more. Additional chapters cover In Vivo pO2 Imaging of Tumors: Oxymetry with Very Low-Frequency Electron Paramagnetic Resonance, an Update, EPR contributions to understanding molybdenum-containing enzymes, EPR spectroscopy of Type I reaction centers, Characterization of a substrate-derived radical in the NosN reaction during the biosynthesis of nosiheptide, and much more.

This book describes fundamental physical principles, together with their mathematical formulations, for modelling the propagation of signals in nerve fibres. Above all, it focuses on the complex electro-mechano-thermal process that produces an ensemble of waves composed of several components, besides the action potential. These components include mechanical waves in the biomembrane and axoplasm, together with the temperature change. Pursuing a step-by-step approach, the content moves from physics and mathematics, to describing the physiological effects, and finally to modelling the coupling effects. The assumptions and hypotheses used for modelling, as well as selected helpful concepts from continuum mechanics, are systematically explained, and the modelling is illustrated using the outcomes of numerical simulation. The book is chiefly intended for researchers and graduate students, providing them with a detailed description of how to model the complex physiological processes in nerve fibres.

Emphasizes recent advances in biotechnologies that could ameliorate the high level global food and nutrition insecurity through plant and animal genetics, breeding, as well as genomics Provides detailed information towards harnessing indigenous bio-resources for food and nutrition security and climate change adaptation Introduces new frontiers in the area of genomics most especially their relevant applications in crop and animal breeding Reviews biotechniques that could enhance plant genetic resources conservation and utilization Discusses current biotechnological approaches to exploit genetic resources including the development of synthetic hexaploid wheat (SHW) for crop adaptation to the increasingly changing global climate

"The most remarkable history of biology that has ever been written."-Michel Foucault Nobel Prize-winning scientist Francois Jacob's The Logic of Life is a landmark book in the history of biology and science. Focusing on heredity, which Jacob considers the fundamental feature of living things, he shows how, since the sixteenth century, the scientific understanding of inherited traits has moved not in a linear, progressive way, from error to truth, but instead through a series of frameworks. He reveals how these successive interpretive approaches-focusing on visible structures, internal structures (especially cells), evolution, genes, and DNA and other molecules-each have their own power but also limitations. Fundamentally challenging how the history of biology is told, much as Thomas Kuhn's Structure of Scientific Revolutions did for the history of science as a whole, The Logic of Life has greatly influenced the way scientists and historians view the past, present, and future of biology.

Plants produce secondary metabolites that humans harness for their own benefit. About half of drugs currently in clinical use are based on these chemicals found in nature. Chemistry of Natural Products covers secondary metabolites present in medicinal plants and their biosynthesis, biological activities, and isolation and separation techniques. This book is ideal for researchers in the areas of biochemistry, medicine, and pharmacology.

This book provides a comprehensive overview of the current state of the art of practical applications of neuroprosthesis based on functional electrical stimulation for restoration of motor functions lost by spinal cord injury and discusses the use of brain-computer interfaces for their control. The book covers numerous topics starting with basics about spinal cord injury, electrical stimulation, electrical brain signals and brain-computer interfaces. It continues with an overview of neuroprosthetic solutions for different purposes and non-invasive and invasive brain-computer interface implementations and presents clinical use cases and practical applications of BCIs. Finally, the authors give an outlook on cutting edge research with a high potential for clinical translation in the near future. All authors committed themselves to use easy-to-understand language and to avoid very specific information, focusing instead on the essential aspects. This makes this book an ideal choice not only for researchers and clinicians at all stages of their education interested in the topic of brain-computer interface-controlled neuroprostheses, but also for end users and their caregivers who want to inform themselves about the current technological possibilities to improve paralyzed motor functions.

This detailed book aims to provide an overview of novel bioinformatics resources for exploring diverse aspects of RNA biology. This edition focuses on methods dealing with non-coding RNA (miRNAs, circRNAs or lncRNAs), RNA modifications (m6A or RNA editing), single cell RNA-seq and statistical models to handle count data from RNA-seq experiments. The book also includes chapters based on the classical RNA bioinformatics methods, such as those for deciphering secondary and tertiary RNA structures; however, they are revised to take into account deep sequencing data. Finally, chapters describing methods to analyze RNA sequencing data from emerging third generation sequencing technologies that could provide interesting insights into the transcriptional process and its regulation are also included. Written for the highly successful Methods in Molecular Biology series, chapters include the kind of expert implementation advice that encourages quality results. Comprehensive and up-to-date, RNA Bioinformatics, Second Edition serves as an ideal guide for researchers digging ever-deeper into the depths of the study of RNAs. The chapter 'RNA-Seq Data Analysis in Galaxy' is open access under a CC BY 4.0 license.

Stem cell science, encompassing basic biology to practical application, is both vast and diverse. A full appreciation of it requires an understanding of cell and molecular biology, tissue structure and physiology, the practicalities of tissue engineering and bioprocessing, and the pathways to clinical implementation-including the ethical and regulatory imperatives that our society requires us to address. Expectation and debate have been driven by the allure of regenerative medicine using stem cells as a source of replacements for damaged or aged tissues. The potential of stem cell application goes far beyond this. Highly innovative uses of stem cells are emerging as possible therapies for cancers, treating acute damage in conditions such as stroke and myocardial infarction, and resolving a whole range of diseases. Stem Cells: Biology and Application presents the basic concepts underlying the fast-moving science of stem cell biology. This textbook is written for an advanced stem cell biology course. The target audience includes senior undergraduates, first year graduate students, and practitioners in molecular biology, biology, and biomedical engineering. Stem Cells provides a comprehensive understanding of these unique cells, highlighting key areas of research, associated controversies, case studies, technologies, and pioneers in the field.

Reflects the current state of scholarship in Buddhist Studies, its entries being written by specialists in many areas, presenting an accurate overview of Buddhist history, thought and practices, most entries having cross-referencing to others and bibliographical references. Contain around 1000 pages and 500,000 words, totalling around 1200 entries.