Gastroesophageal reflux is one of the most common maladies of mankind. Approximately 40% of the adult population of the USA suffers from significant heartburn and the numerous antacids advertised incessantly on national television represents a $8 billion per year drug market. The ability to control acid secretion with the increasingly effective acid-suppressive agents such as the H2 blockers (pepcid, zantac) and proton pump inhibitors (nexium, prevacid) has given physicians an excellent method of treating the symptoms of acid reflux.
Unfortunately, this has not eradicated reflux disease. It has just changed its nature. While heartburn, ulceration and strictures have become rare, reflux-induced adenocarcinoma of the esophagus is becoming increasingly common. Adenocarcinoma of the esophagus and gastric cardia is now the most rapidly increasing cancer type in the Western world.
At present, there is no histologic test that has any practical value in the diagnosis of reflux disease. The only histologic diagnostic criteria are related to changes in the squamous epithelium which are too insensitive and nonspecific for effective patient management. It is widely recognized that columnar metaplasia of the esophagus (manifest histologically as cardiac, oxyntocardiac and intestinal epithelia) is caused by reflux. However, except for intestinal metaplasia, which is diagnostic for Barrett esophagus, these columnar epithelia are not used to diagnose reflux disease in biopsies. The reason for this is that these epithelial types are indistinguishable from "normal" "gastric" cardiac mucosa. In standard histology texts, this "normal gastric cardia" is 2-3 cm long.
In the mid-1990s, Dr. Chandrasoma and his team at USC produced autopsy data suggesting that cardiac and oxyntocardiac mucosa is normally absent from this region and that their presence in biopsies was histologic evidence of reflux disease. From this data, they determined that the presence of cardiac mucosa was a pathologic entity caused by reflux and could therefore be used as a highly specific and sensitive diagnostic criterion for the histologic diagnosis of reflux disease. They call this entity "reflux carditis." In addition, the length of these metaplastic columnar epithelia in the esophagus was an accurate measure of the severity of reflux disease in a given patient.
At present, there is some controversy over whether cardiac mucosa is totally absent or present normally to the extent of 0-4 mm. While this should not be a deterrent to changing criteria which are dependent on there normally being 20-30 cm of cardiac mucosa, there has been little mainstream attempt to change existing endoscopic and pathologic diagnostic criteria in the mainstream of either gastroenterology or pathology.
The ATLAS will be the source of easily digestible practical information for pathologists faced with biopsies from this region. It will also guide gastroenterologists as they biopsy these patients.
* The American Gastroenterological Association claims there are 14,500 members worldwide who are practicing physicians and scientists who research, diagnose and treat disorders of the gastrointestinal tract and liver
* According to the American Society for Clinical Pathology, there are 12,000 board certified pathologists in the U.S.
* Adenocarcinoma of the esophagus and gastric cardia is now the most rapidly increasing cancer type in the Western world
* Approximately 40% of the adult population of the U.S. suffers from significant heartburn and the numerous antacids advertised on national television represents an $8 billion per year drug market

This book shows how to decompose high-dimensional microarrays into small subspaces (Small Matryoshkas, SMs), statistically analyze them, and perform cancer gene diagnosis. The information is useful for genetic experts, anyone who analyzes genetic data, and students to use as practical textbooks.Discriminant analysis is the best approach for microarray consisting of normal and cancer classes. Microarrays are linearly separable data (LSD, Fact 3). However, because most linear discriminant function (LDF) cannot discriminate LSD theoretically and error rates are high, no one had discovered Fact 3 until now. Hard-margin SVM (H-SVM) and Revised IP-OLDF (RIP) can find Fact3 easily. LSD has the Matryoshka structure and is easily decomposed into many SMs (Fact 4). Because all SMs are small samples and LSD, statistical methods analyze SMs easily. However, useful results cannot be obtained. On the other hand, H-SVM and RIP can discriminate two classes in SM entirely. RatioSV is the ratio of SV distance and discriminant range. The maximum RatioSVs of six microarrays is over 11.67%. This fact shows that SV separates two classes by window width (11.67%). Such easy discrimination has been unresolved since 1970. The reason is revealed by facts presented here, so this book can be read and enjoyed like a mystery novel. Many studies point out that it is difficult to separate signal and noise in a high-dimensional gene space. However, the definition of the signal is not clear. Convincing evidence is presented that LSD is a signal. Statistical analysis of the genes contained in the SM cannot provide useful information, but it shows that the discriminant score (DS) discriminated by RIP or H-SVM is easily LSD. For example, the Alon microarray has 2,000 genes which can be divided into 66 SMs. If 66 DSs are used as variables, the result is a 66-dimensional data. These signal data can be analyzed to find malignancy indicators by principal component analysis and cluster analysis.

"Extracellular Glycolipids of Yeasts: Biodiversity, Biochemistry, and Prospects" provides a comprehensive view of the biochemistry, biological activity, and practical application of extracellular glycolipids of yeast. This book brings much-needed clarity to the complex topic of glycolipids and streamlines the rather confusing terminology used for glycolipids. It also provides a wealth of modern data on their composition, structure and properties, biosynthetic pathways, methods of isolation and identification, antifungal activity, and mechanisms of action.

Studies of extracellular glycolipids of yeast now draw the attention of researchers in life science and biotechnology due to numerous recently revealed biological properties of these compounds. These compounds are scientifically and practically promising in medicine and agriculture due to their biosurfactant and fungicidal properties, as well as a number of other biological activities. "Extracellular Glycolipids of Yeasts" gives researchers studying biochemistry of microorganisms and related biologically active compounds a much-needed guide to the basic data that will aid in these increasingly generative pursuits.
Provides a clear overview of the basic data on yeast biosurfactants using a simple survey-style approachDelivers comprehensive view of biochemistry, biological activity, and practical application of yeasts to aid in their scientific and practical useClarifies and simplifies the complex topic of glycolipids, and its often-confusing terminology

This book presents a variety of techniques designed to enhance and empower multi-disciplinary and multi-institutional machine learning research in healthcare informatics. It is intended to provide a unique compendium of current and emerging machine learning paradigms for healthcare informatics, reflecting the diversity, complexity, and depth and breadth of this multi-disciplinary area.

Complexes of physically interacting proteins constitute fundamental functional units that drive almost all biological processes within cells. A faithful reconstruction of the entire set of protein complexes (the "complexosome") is therefore important not only to understand the composition of complexes but also the higher level functional organization within cells. Advances over the last several years, particularly through the use of high-throughput proteomics techniques, have made it possible to map substantial fractions of protein interactions (the "interactomes") from model organisms including Arabidopsis thaliana (a flowering plant), Caenorhabditis elegans (a nematode), Drosophila melanogaster (fruit fly), and Saccharomyces cerevisiae (budding yeast). These interaction datasets have enabled systematic inquiry into the identification and study of protein complexes from organisms. Computational methods have played a significant role in this context, by contributing accurate, efficient, and exhaustive ways to analyze the enormous amounts of data. These methods have helped to compensate for some of the limitations in experimental datasets including the presence of biological and technical noise and the relative paucity of credible interactions. In this book, we systematically walk through computational methods devised to date (approximately between 2000 and 2016) for identifying protein complexes from the network of protein interactions (the protein-protein interaction (PPI) network). We present a detailed taxonomy of these methods, and comprehensively evaluate them for protein complex identification across a variety of scenarios including the absence of many true interactions and the presence of false-positive interactions (noise) in PPI networks. Based on this evaluation, we highlight challenges faced by the methods, for instance in identifying sparse, sub-, or small complexes and in discerning overlapping complexes, and reveal how a combination of strategies is necessary to accurately reconstruct the entire complexosome.

Reviews of Environmental Contamination and Toxicology attempts to provide concise, critical reviews of timely advances, philosophy and significant areas of accomplished or needed endeavor in the total field of xenobiotics, in any segment of the environment, as well as toxicological implications.

Theory of Endobiogeny, Volume 3: Advanced Concepts for Treatment of Complex Clinical Conditions explains complex and multi-factorial disorders and diseases using the theory of endobiogeny. It provides detailed applications of biological modeling, in-depth assessment into common disorders, an endobiogenic analysis, guidance on using biological modeling tools, and suggestions for treatment using standard of care treatments that also take into account diet, lifestyle and medicinal plants. This approach is an evolution in thinking from reductionism to holism, offering advice for symptomatic treatments that can be used in conjunction with a new way of thinking about diseases and disease management.

The book presents nine mini-courses from a summer school, Dynamics of Biological Systems, held at the University of Alberta in 2016, as part of the prestigious seminar series: Seminaire de Mathematiques Superieures (SMS). It includes new and significant contributions in the field of Dynamical Systems and their applications in Biology, Ecology, and Medicine. The chapters of this book cover a wide range of mathematical methods and biological applications. They - explain the process of mathematical modelling of biological systems with many examples, - introduce advanced methods from dynamical systems theory, - present many examples of the use of mathematical modelling to gain biological insight - discuss innovative methods for the analysis of biological processes, - contain extensive lists of references, which allow interested readers to continue the research on their own. Integrating the theory of dynamical systems with biological modelling, the book will appeal to researchers and graduate students in Applied Mathematics and Life Sciences.

The Theory of Endobiogeny Volume 1: Global Systems Thinking and Biological Modeling for Clinical Medicine offers researchers and clinicians a detailed introduction to the theory of Endobiogeny. The book presents a new approach to medicine that is at once scientific and humanistic, quantitative, and qualitative. The philosophical and experimental basis of a global complex systems approach to physiology is presented along with a mathematical approach to modeling the dynamism of the terrain. The importance of the history and physical examination are renewed as a source of "big data" readily available to clinicians for greater insight into the patient's state. Expansion of the therapeutic compendium is proposed based on a rational, clinical approach correlated to mathematical indicators of the physiologic state. What is proposed in this work is a fundamental shift in scientific thinking with a resulting expansion of the boundaries of clinical medicine for the 21st century and beyond.

No longer confined to medical devices, medical software has become a pervasive technology giving healthcare operators access to clinical information stored in electronic health records and clinical decision support systems, supporting robot-assisted telesurgery, and providing the technology behind ambient assisted living. These systems and software must be designed, built and maintained according to strict regulations and standards to ensure that they are safe, reliable and secure. Engineering High Quality Medical Software illustrates how to exploit techniques, methodologies, development processes and existing standards to realize high-confidence medical software. After an introductory survey of the topic the book covers global regulations and standards (including EU MDD 93/42/EEC, FDA Title 21 of US CFR, ISO 13485, ISO 14971, IEC 52304, IEEE 1012 and ISO/IEC 29119), verification and validation techniques and techniques, and methodologies and engineering tasks for the development, configuration and maintenance of medical software.

Bioinformatics is an integrative field of computer science, genetics, genomics, proteomics, and statistics, which has undoubtedly revolutionized the study of biology and medicine in past decades. It mainly assists in modeling, predicting and interpreting large multidimensional biological data by utilizing advanced computational methods. Despite its enormous potential, bioinformatics is not widely integrated into the academic curriculum as most life science students and researchers are still not equipped with the necessary knowledge to take advantage of this powerful tool. Hence, the primary purpose of our book is to supplement this unmet need by providing an easily accessible platform for students and researchers starting their career in life sciences. This book aims to avoid sophisticated computational algorithms and programming. Instead, it focuses on simple DIY analysis and interpretation of biological data with personal computers. Our belief is that once the beginners acquire these basic skillsets, they will be able to handle most of the bioinformatics tools for their research work and to better understand their experimental outcomes. Our second title of this volume set In Silico Life Sciences: Medicine provides hands-on experience in analyzing high throughput molecular data for the diagnosis, prognosis, and treatment of monogenic or polygenic human diseases. The key concepts in this volume include risk factor assessment, genetic tests and result interpretation, personalized medicine, and drug discovery. This volume is expected to train readers in both single and multi-dimensional biological analysis using open data sets, and provides a unique learning experience through clinical scenarios and case studies.

Scholars and policymakers alike agree that innovation in the biosciences is key to future growth. The field continues to shift and expand, and it is certainly changing the way people live their lives in a variety of ways. With a large share of federal research dollars devoted to the biosciences, the field is just beginning to live up to its billing as a source of innovation, economic productivity and growth. Vast untapped potential to imagine and innovate exists in the biosciences given new tools now widely available. In The Biologist's Imagination, William Hoffman and Leo Furcht examine the history of innovation in the biosciences, tracing technological innovation from the late eighteenth century to the present and placing special emphasis on how and where technology evolves. Place is often key to innovation, from the early industrial age to the rise of the biotechnology industry in the second half of the twentieth century. The book uses the distinct history of bioinnovation to discuss current trends as they relate to medicine, agriculture, energy, industry, ecosystems, and climate. Fast-moving research fields like genomics, synthetic biology, stem cell research, neuroscience, bioautomation and bioprinting are accelerating these trends. Hoffman and Furcht argue that our system of bioscience innovation is itself in need of innovation. It needs to adapt to the massive changes brought about by converging technologies and the globalization of higher education, workforce skills, and entrepreneurship. The Biologist's Imagination is both a review of past models for bioscience innovation and a forward-looking, original argument for what future models should take into account.

This book reviews the advances and challenges of structure-based drug design in the preclinical drug discovery process, addressing various diseases, including malaria, tuberculosis and cancer. Written by internationally recognized researchers, this edited book discusses how the application of the various in-silico techniques, such as molecular docking, virtual screening, pharmacophore modeling, molecular dynamics simulations, and residue interaction networks offers insights into pharmacologically active novel molecular entities. It presents a clear concept of the molecular mechanism of different drug targets and explores methods to help understand drug resistance. In addition, it includes chapters dedicated to natural-product- derived medicines, combinatorial drug discovery, the CryoEM technique for structure-based drug design and big data in drug discovery. The book offers an invaluable resource for graduate and postgraduate students, as well as for researchers in academic and industrial laboratories working in the areas of chemoinformatics, medicinal and pharmaceutical chemistry and pharmacoinformatics.

Antimicrobial peptides (AMPs), including cathelicidins and defensins are host defence peptides that carry out multiple roles in the gastrointestinal (GI) tract. Antimicrobial Peptides in Gastrointestinal Diseases presents knowledge about the physiological functions and pharmacological actions of AMPs in inflammation, cancer, and further infection of the GI tract. The book provides coverage from the basic research to clinical application for GI diseases. Current research and development of AMPs is presented, opening the way for further work on these peptides, not only in the context of GI diseases, but also for similar pathologies in other organs. AMPs are key to the regulation of human microbiome and second line defence in the GI mucosa, prevent colonization of pathogens and modulation of innate response to invading pathogens, and modify immunological reactions during inflammatory processes and oncogenic development in the GI mucosa. More importantly, AMPs possess diversified anti-microbial actions against various infectious diseases in the GI tract. With these physiological functions and pharmacological actions, AMPs have significant potential as therapeutic agents for the treatment of inflammation, cancer and further infection in the GI tract.

This book brings together carefully selected, peer-reviewed works on mathematical biology presented at the BIOMAT International Symposium on Mathematical and Computational Biology, which was held at the Institute of Numerical Mathematics, Russian Academy of Sciences, in October 2017, in Moscow. Topics covered include, but are not limited to, the evolution of spatial patterns on metapopulations, problems related to cardiovascular diseases and modeled by boundary control techniques in hemodynamics, algebraic modeling of the genetic code, and multi-step biochemical pathways. Also, new results are presented on topics like pattern recognition of probability distribution of amino acids, somitogenesis through reaction-diffusion models, mathematical modeling of infectious diseases, and many others. Experts, scientific practitioners, graduate students and professionals working in various interdisciplinary fields will find this book a rich resource for research and applications alike.

As the first comprehensive title on network biology, this book covers a wide range of subjects including scientific fundamentals (graphs, networks, etc) of network biology, construction and analysis of biological networks, methods for identifying crucial nodes in biological networks, link prediction, flow analysis, network dynamics, evolution, simulation and control, ecological networks, social networks, molecular and cellular networks, network pharmacology and network toxicology, big data analytics, and more.Across 12 parts and 26 chapters, with Matlab codes provided for most models and algorithms, this self-contained title provides an in-depth and complete insight on network biology. It is a valuable read for high-level undergraduates and postgraduates in the areas of biology, ecology, environmental sciences, medical science, computational science, applied mathematics, and social science.

This book provides essential insights into designing a localized DNA circuit to promote the rate of desired hybridization reactions over undesired leak reactions in the bulk solution. The area of dynamic DNA nanotechnology, or DNA circuits, holds great promise as a highly programmable toolbox that can be used in various applications, including molecular computing and biomolecular detection. However, a key bottleneck is the recurring issue of circuit leakage. The assembly of the localized circuit is dynamically driven by the recognition of biomolecules - a different approach from most methods, which are based on a static DNA origami assembly. The design guidelines for individual reaction modules presented here, which focus on minimizing circuit leakage, are established through NUPACK simulation and tested experimentally - which will be useful for researchers interested in adapting the concepts for other contexts. In the closing section, the design concepts are successfully applied to the biomolecular sensing of a broad range of targets including the single nucleotide mutations, proteins, and cell surface receptors.

Cell Surface GRP78, a New Paradigm in Signal Transduction Biology presents a new paradigm that has emerged in the past decade with the discovery that various intracellular proteins may acquire new functions as cell surface receptors. Two very prominent examples are ATP synthase and GRP78. While the role of cell surface ATP synthase has been reviewed in various books, this book directs its attention to the story of cell surface GRP78.

Human Gut Microbiota in Health and Disease: From Pathogenesis to Therapy is a comprehensive discussion of all the aspects associated with gut microbiota early colonization, its development and maintenance, and its symbiotic relationship with the host to promote health. Chapters illustrate the complex mechanisms and metabolic signalling pathways related to how the gut microbiota maintain proper regulation of glucose, lipid and energy homeostasis and immune response, while mediating inflammatory processes involved in the etiology of many chronic disease conditions. Details are provided on the primary etiological factors of chronic disease, the effects of gut dysbiosis and its associated disease conditions, while providing an overview of therapeutic strategies involving dietary fiber and prebiotics, fecal microbiota transplantation therapy and probiotics. Throughout the chapters, a comprehensive review of peer-reviewed animal and human studies is provided as evidence related to the history of human exposure, safety, tolerance, toxicity, nomenclature, and clinical efficacy of utilizing prebiotic fructans, s, as well as probiotic intervention, and dietary modification in the prevention and intervention of chronic disease conditions. With common use today of pharmaceutical medicine in treating symptoms, and frequent overuse of antibiotics in chronic disease within mainstream medical practice, understanding the etiological mechanisms of dysbiosis-induced chronic disease, and natural approaches that offer prevention and potential cures for these diseases is of vital importance to overall human health.

The Microbiology of Central Nervous System Infections, Volume 3, discusses modern approaches to the diagnosis, treatment and prophylaxis of central nervous system (CNS) infections. This new release is divided into five sections that cover treatment strategies, imaging, molecular diagnosis, management of CNS infections with metal nanoparticles, and prophylaxis of CNS infections, including bacterial, viral and fungal infections. The last section contains a chapter on transmissible spongiform encephalopathies and modern trends in its diagnosis and treatment. University teachers, medical practitioners, graduate and postgraduate students, researchers in microbiology, and those in the pharmaceutical and laboratory diagnostic industries will find the book very important.

Handbook of Thermoset-Based Biocomposites is a three-volume set that provides a comprehensive review on the recent developments, characterization, and applications of natural fiber-reinforced biocomposites. An in-depth look at hybrid composites, nanofillers, and natural fiber reinforcement is divided into three books on polyester, vinyl ester, and epoxy composites. The volumes explore the widespread applications of natural fiber-reinforced polyester, vinyl ester, and epoxy composites ranging from the aerospace sector, automotive parts, construction and building materials, sports equipment, and household appliances. Investigating the physio-chemical, mechanical, and thermal properties of these composites, the volumes also consider the influence of hybridization, fibre architecture, and fibre-ply orientation. This three-volume set serves as a useful reference for researchers, graduate students, and engineers in the field of composites.