Medical decision support systems (MDSS) are computer-based programs that analyse data within a patient's healthcare records to provide questions, prompts, or reminders to assist clinicians at the point of care. Inputting a patient's data, symptoms, or current treatment regimens into an MDSS, clinicians are assisted with the identification or elimination of the most likely potential medical causes, which can enable faster discovery of a set of appropriate diagnoses or treatment plans. Explainable AI (XAI) is a "white box" model of artificial intelligence in which the results of the solution can be understood by the users, who can see an estimate of the weighted importance of each feature on the model's predictions, and understand how the different features interact to arrive at a specific decision. This book discusses XAI-based analytics for patient-specific MDSS as well as related security and privacy issues associated with processing patient data. It provides insights into real-world scenarios of the deployment, application, management, and associated benefits of XAI in MDSS. The book outlines the frameworks for MDSS and explores the applicability, prospects, and legal implications of XAI for MDSS. Applications of XAI in MDSS such as XAI for robot-assisted surgeries, medical image segmentation, cancer diagnostics, and diabetes mellitus and heart disease prediction are explored.

This edited book explores the use of technology to enable us to visualise the life sciences in a more meaningful and engaging way. It will enable those interested in visualisation techniques to gain a better understanding of the applications that can be used in visualisation, imaging and analysis, education, engagement and training. The reader will also be able to learn about the use of visualisation techniques and technologies for the historical and forensic settings. The reader will be able to explore the utilisation of technologies from a number of fields to enable an engaging and meaningful visual representation of the biomedical sciences. The chapters presented in this volume cover such a diverse range of topics, with something for everyone. We present here chapters on technology enhanced learning in neuroanatomy; 3D printing and surgical planning; changes in higher education utilising technology, decolonising the curriculum and visual representations of the human body in education. We also showcase how not to use protective personal equipment inspired by the pandemic; anatomical and historical visualisation of obstetrics and gynaecology; 3D modelling of carpal bones and augmented reality for arachnid phobias for public engagement. In addition, we also present face modelling for surgical education in a multidisciplinary setting, military medical museum 3D digitising of historical pathology specimens and finally computational fluid dynamics.

Health Data Processing: Systemic Approaches focuses on the design of health information systems and touches on the main themes of medical informatics and public health. The book is written for health professionals in practice or training, and is especially useful for decision-makers or future decision-makers in the field of health information systems. Users will find sections on the question of reusing data for other purposes, protection of individual liberties that this data and technologies make more acute, and the irruption of large masses of genetic data and its related problems. This book develops the methodological and conceptual aspects related to these issues.

Adequate health and health care is no longer possible without proper data supervision from modern machine learning methodologies like cluster models, neural networks, and other data mining methodologies. The current book is the first publication of a complete overview of machine learning methodologies for the medical and health sector, and it was written as a training companion, and as a must-read, not only for physicians and students, but also for any one involved in the process and progress of health and health care. In this second edition the authors have removed the textual errors from the first edition. Also, the improved tables from the first edition, have been replaced with the original tables from the software programs as applied. This is, because, unlike the former, the latter were without error, and readers were better familiar with them. The main purpose of the first edition was, to provide stepwise analyses of the novel methods from data examples, but background information and clinical relevance information may have been somewhat lacking. Therefore, each chapter now contains a section entitled "Background Information". Machine learning may be more informative, and may provide better sensitivity of testing than traditional analytic methods may do. In the second edition a place has been given for the use of machine learning not only to the analysis of observational clinical data, but also to that of controlled clinical trials. Unlike the first edition, the second edition has drawings in full color providing a helpful extra dimension to the data analysis. Several machine learning methodologies not yet covered in the first edition, but increasingly important today, have been included in this updated edition, for example, negative binomial and Poisson regressions, sparse canonical analysis, Firth's bias adjusted logistic analysis, omics research, eigenvalues and eigenvectors.

Learn not only how to recognize high-quality research, but how to improve your own research and apply it to patient care. Plus, find out how to start a journal club, write quality case reports and how to most effectively present your research to others. This book is ideal guide for students at both graduate and undergraduate levels who might be having difficulty with research concepts as well as for practiced clinicians interested in a fresh approach to clinical research. * A jargon-free guide to understanding and conducting research * Uses metaphors, visual images, and examples to simplify complex research concepts * Includes easy-to-do computer exercises to help you understand statistical concepts

The inflammasome is a protein complex composed of an intracellular sensor-typically a Nod-like receptor (NLR), the precursor procaspase-1, and the adaptor ASC. Inflammasome activation leads to the maturation of caspase-1 and the processing of its substrates, IL-1 and IL-18. The inflammasome has been implicated numerous diseases, and blockade of inflammasome-derived IL-1 has beneficial effects on several of these diseases. Different books have been edited about the biology of inflammasomes and about methods to study, however, the implication of this complex in the different diseases and pathological conditions show the need of a book about the clinical implications and therapeutic options. This project will show the context where inflammasomes are being studied and the molecular implications in the medical and clinical contexts. Other important topic of the inflammasomes will be the development of pharmacological inhibitors in order to improve new clinical applications. In this sense, we can find new drugs with inhibitory effects or old drugs with an inhibitory potential effect. There is a need for re-establishing the real benefits of the inflammasome inhibitions in pathological situations and the management of the differents diseases where inflammasomes are implicated.

This volume presents the latest developments and techniques used to study the physiopathology, diagnosis, and treatment of pre-eclampsia. Written for clinicians, obstetricians, basic scientists, researchers, and students the chapters in this book provide methods to study placental function using in vitro and ex vivo model systems, comprehensive genetic analysis of pre-eclampsia, identifying critical angiogenic factors associated with the development of pre-eclampsia, and controlled experiments that investigate potential therapies. 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, tips on troubleshooting and avoiding known pitfalls, as well as a description of the limitations and advantages of the described techniques. Cutting-edge and comprehensive, Pre-Eclampsia: Methods and Protocols is a valuable resource for anyone interested in learning more about the critical role of the placenta in the maternal-fetal relationship.

Signal Processing for Neuroscientists, Second Edition provides an introduction to signal processing and modeling for those with a modest understanding of algebra, trigonometry and calculus. With a robust modeling component, this book describes modeling from the fundamental level of differential equations all the way up to practical applications in neuronal modeling. It features nine new chapters and an exercise section developed by the author. Since the modeling of systems and signal analysis are closely related, integrated presentation of these topics using identical or similar mathematics presents a didactic advantage and a significant resource for neuroscientists with quantitative interest. Although each of the topics introduced could fill several volumes, this book provides a fundamental and uncluttered background for the non-specialist scientist or engineer to not only get applications started, but also evaluate more advanced literature on signal processing and modeling.

This book focuses on the state-of-the-art of biosensor research and development for specialists and non-specialists. It introduces the fundamentals of the subject with relevant characteristics of transducer elements, as well as biochemical recognition molecules. This book is ideal for researchers of nanotechnology, materials science and biophysics.

The Epigenetics of Autoimmunity covers a topic directly related to translational epigenetics. Via epigenetic mechanisms, a number of internal and external environmental risk factors, including smoking, nutrition, viral infection and the exposure to chemicals, could exert their influence on the pathogenesis of autoimmune diseases. Such factors could impact the epigenetic mechanisms, which, in turn, build relationship with the regulation of gene expression, and eventually triggering immunologic events that result in instability of immune system. Since epigenetic aberrations are known to play a key role in a long list of human diseases, the translational significance of autoimmunity epigenetics is very high. To bridge the gap between environmental and genetic factors, over the past few years, great progress has been made in identifying detailed epigenetic mechanisms for autoimmune diseases. Furthermore, with rapid advances in technological development, high-throughput screening approaches and other novel technologies support the systematic investigations and facilitate the epigenetic identification. This book covers autoimmunity epigenetics from a disease-oriented perspective and several chapters are presented that provide advances in wide-spread disorders or diseases such as systemic lupus erythematosus (SLE), rheumatoid arthritis (RA), multiple sclerosis (MS), type 1 diabetes (T1DM), systemic sclerosis (SSc), primary Sjoegren's syndrome (pSS) and autoimmune thyroid diseases (AITDs). These emerging epigenetic studies provide new insights into autoimmune diseases, raising great expectations among researchers and clinicians. This seminal book on this topic comprehensively covers the most recent advances in this exciting and rapidly developing new science. They might reveal not only new clinical biomarkers for diagnosis and disease progression, but also novel targets for potential epigenetic therapeutic treatment.

Molecular-Genetic and Statistical Techniques for Behavioral and Neural Research presents the most exciting molecular and recombinant DNA techniques used in the analysis of brain function and behavior, a critical piece of the puzzle for clinicians, scientists, course instructors and advanced undergraduate and graduate students. Chapters examine neuroinformatics, genetic and neurobehavioral databases and data mining, also providing an analysis of natural genetic variation and principles and applications of forward (mutagenesis) and reverse genetics (gene targeting). In addition, the book discusses gene expression and its role in brain function and behavior, along with ethical issues in the use of animals in genetics testing. Written and edited by leading international experts, this book provides a clear presentation of the frontiers of basic research as well as translationally relevant techniques that are used by neurobehavioral geneticists.

Progress in Drug Research is a prestigious book series which provides extensive expert-written reviews on a wide spectrum of highly topical areas in current pharmaceutical and pharmacological research. Founded in 1959 by its current editor, the series has moved from its initial focus on medicinal chemistry to a much wider scope. Today it encompasses all fields concerned with the development of new therapeutic drugs and the elucidation of their mechanisms of action, reflecting the increasingly complex nature of modern drug research. Invited authors present their biological, chemical, biochemical, physiological, immunological, pharmaceutical, toxicological, pharmacological and clinical expertise in carefully written reviews and provide the newcomer and the specialist alike with an up-to-date comprehensive list of prime references. Each volume of Progress in Drug Research contains fully cross-referencing indices which link the books together, forming a virtually encyclopaedic work. The series thus serves as an important, time-saving source of information for researchers concerned with drug research and all those who need to keep abreast of the many recent developments in the quest for new and better medicines.

Cancer genetics is a quickly growing field within oncology. The ability to identify individuals at high risk for cancer improves the chance of early prevention and detection of cancer. The results of genetic testing affect quality of life, employment, and ability to be insured. This volume provides an overview of cancer genetics, inherited cancer susceptibility, and available services and testing, including both the risks and benefits of testing. Some of the topics covered include: genetics of breast and ovarian cancer; testing minors for inherited cancer risk; chemoprevention of heritable cancer risk; genetics of colorectal cancer; insurance issues in genetic testing for cancer; ethical and legal issues in genetic testing for cancer susceptibility; testing for breast cancer risk in the Ashkenazim; estimating individualized risk of breast cancer; genetic counselling for the individual with inherited cancer susceptibility; and components of a genetic cancer risk clinic.

Aging, Health and Technology takes a problem-centered approach to examine how older adults use technology for health. It examines the many ways in which technology is being used by older adults, focusing on challenges, solutions and perspectives of the older user. Using aging-health technology as a lens, the book examines issues of technology adoption, basic human factors, cognitive aging, mental health, aging and usability, privacy, trust and automation. Each chapter takes a case study approach to summarize lessons learned from unique examples that can be applied to similar projects, while also providing general information about older adults and technology.

This book presents a range of current research topics in biological network modeling, as well as its application in studies on human hosts, pathogens, and diseases. Systems biology is a rapidly expanding field that involves the study of biological systems through the mathematical modeling and analysis of large volumes of biological data. Gathering contributions from renowned experts in the field, some of the topics discussed in depth here include networks in systems biology, the computational modeling of multidrug-resistant bacteria, and systems biology of cancer. Given its scope, the book is intended for researchers, advanced students, and practitioners of systems biology. The chapters are research-oriented, and present some of the latest findings on their respective topics.

This book fosters a scientific debate for sophisticated approaches and cognitive technologies (such as deep learning, machine learning and advanced analytics) for enhanced healthcare services in light of the tremendous scope in the future of intelligent systems for healthcare. The authors discuss the proliferation of huge data sources (e.g. genomes, electronic health records (EHRs), mobile diagnostics, and wearable devices) and breakthroughs in artificial intelligence applications, which have unlocked the doors for diagnosing and treating multitudes of rare diseases. The contributors show how the widespread adoption of intelligent health based systems could help overcome challenges, such as shortages of staff and supplies, accessibility barriers, lack of awareness on certain health issues, identification of patient needs, and early detection and diagnosis of illnesses. This book is a small yet significant step towards exploring recent advances, disseminating state-of-the-art techniques and deploying novel technologies in intelligent healthcare services and applications. Describes the advances of computing methodologies for life and medical science data; Presents applications of artificial intelligence in healthcare along with case studies and datasets; Provides an ideal reference for medical imaging researchers, industry scientists and engineers, advanced undergraduate and graduate students, and clinicians.

HealthGrid 2008 is the sixth conference in this series of open forums for the integration of grid technologies and its applications in the biomedical, medical and biological domains to pave the path to an international research area in healthgrids. The main objective of the HealthGrid conference and the HealthGrid Association is the exchange and discussion of ideas, technologies, solutions and requirements that interest the grid and the life-sciences communities to foster the integration of grids into health.Subjects in this publication reflect the diversity of mature practice: Advancing Virtual Communities, offering a glimpse of the kind of communities that are brought together by means of collaboration grids; Public Health Informatics, exploring the diffusion of grid concepts and technologies in health informatics; Translational Bioinformatics, the contact point between medicine, healthcare and genomics; and Knowledge Management and Decision Support, one direction that is confidently expected to grow as the synergy of grids and 'evidence-based practice' in healthcare is exploited.

The new edition of this practical text presents a clear anatomic approach to locating the needle insertion site for EMG. Succinct descriptions are provided for 71 routinely tested muscles, and each is accompanied by a full-page drawing of the muscle and related anatomy. Many new cross-sectional drawings have been added to further delineate the anatomy. Guidelines have been expanded throughout to include more detail. There are also more pearls, additional tips on avoiding pitfalls, and anatomical and clinical descriptions. Teaching points have been expanded and replace the previous "notes" from the first edition. The text is in outline format and indicates peripheral and nerve root innervations and patient positioning.

Membrane processes today play a signifi cant role in the replacement therapy for acute and chronic organ failure diseases. Current extracorporeal blood purifi cation and oxygenation devices employ membranes acting as selective barriers for the removal of endogeneous and exogeneous toxins and for gas exchange, respectively. Additionally, membrane technology offers new interesting opportunities for the design of bioartificial livers, pancreas, kidneys, lungs etc. This book reviews the latest developments in membrane systems for bioartificial organs and regenerative medicine, investigates how membrane technology can improve the quality and efficiency of biomedical devices, and highlights the design procedures for membrane materials covering the preparation, characterization, and sterilization steps as well as transport phenomena. The different strategies pursued for the development of membrane bioartifi cial organs, including crucial issues related to blood/cell-membrane interactions are described with the aim of opening new and exciting frontiers in the coming decades. The book is a valuable tool for tissue engineers, clinicians, biomaterials scientists, membranologists as well as biologists and biotechnologists. It is also a source of reference for students, academic and industrial researchers in the topic of biotechnology, biomedical engineering, materials science and medicine.

This key title includes all the information contained in Part I of Linnes Clinical Laboratory Science: The Basics and Routine Techniques 4/eso that students do not have to buy the big volume if they are only interested in Part I of the book. It contains all the general background information necessary for working in a clinical laboratory and performing routine clinical laboratory tests. It covers the fundamentals of safety, collection of specimens, equipment, mathematics and measurements giving the student a thorough understanding of the basic concepts and background material which is an essential base in the practice of clinical laboratory science. * Prepares students for the realities of work in the clinical laboratory with an overview of the field of clinical laboratory science, and includes specifics on basic laboratory procedures. * Prepares the reader for the "real world" of the clinical laboratory with authors who have contributed years of research and experience in a frequently changing field and lend an "in the trenches" view of life to the modern clinical laboratory. * Offers the basic information about working in a clinical laboratory for introductory CLT/MLT or CLS/MT students. * Highlights clinical procedures by placing them in boxes that are easy for students to quickly find. * Chapter 1, Introduction to Clinical Laboratory Science, gives students a solid foundation on the fundamentals of clinical lab work. * Includes 59 illustrations to help explain the material and reinforce learning. * Includes Review Questions, Key Terms with definitions, Learning Objectives, Chapter Outlines, and Procedure Boxes, which provide excellent opportunities for group or individual study and reinforce the most important information in each chapter. * Includes a Glossary with key terms and definitions to help students with the new scientific terminology they will encounter in their initial clinical laboratory classes. * Includes an Instructors' Manual with student handouts, guides, exercises and related materials.

This book, written by members of the European network PROTEOSTASIS, provides an up-to-date review of the research regarding protein homeostasis in health and disease. With new discoveries contributing to the increasing complexity of this topic, the book offers a detailed overview of the pathways regulating protein homeostasis, including autophagy and the ubiquitin protein family. Following a basic introduction, it explains how defects in protein homeostasis contribute to numerous pathologies, including cancer, neurodegeneration, inflammation and a number of rare diseases. In addition, it discusses, the role of protein homeostasis in cellular development and physiology. Highlighting the latest research in the field of protein homeostasis and its implications for various clinically relevant diseases, the book appeals to researchers and clinicians, while also offering a reference guide for scholars who are new to the field.

The book contains the refereed contributions from the 45th Annual Meeting of the International Society on Oxygen Transport to Tissue (ISOTT) 2017. This volume covers cross-disciplinary work on a broad range of topics related to the dynamics of oxygen transport: microcirculation and vascular medicine; O2 deficiency and its impact on molecular processes in cells and tissues; cellular metabolism and mitochondrial function; multimodal functional imaging; mathematical modeling; the clinical relevance of oxygen supply as well as therapeutic interventions (e.g. in oncology or critical care medicine). The annual meetings of ISOTT bring together scientists from diverse fields (medicine, physiology, mathematics, biology, chemistry, physics, engineering, etc.) in a unique international forum. The book includes sections on brain oxygenation and function, NIRS oxygenation measurements, tumor oxygenation, cell metabolism, tissue oxygenation and treatment, methodical aspects of O2 measurements and physicochemical aspects of oxygen diffusion. Chapters 3, 24, 49 and 51 of this book are open access under a CC BY 4.0 license.

The second of two companion books which address the biology and clinical aspects of prostate cancer. This volume, Prostate Cancer: Molecular & Diagnostic Imaging and Treatment Stategies, discusses both classic and the most recent imaging approaches for detection, early diagnosis and treatment of prostate cancer. The companion title, Cell & Molecular Biology of Prostate Cancer, covers classic and modern cell and molecular biology as well as genetics, epigenetics, mitochondrial dysfunctions and apoptosis, cancer stem cells, angiogenesis, progression to metastasis, and treatment strategies including clinical trials related to prostate cancer. Taken together, these volumes form one comprehensive and invaluable contribution to the literature.

This book systematically reviews the most important findings on cancer immune checkpoints, sharing essential insights into this rapidly evolving yet largely unexplored research topic. The past decade has seen major advances in cancer immune checkpoint therapy, which has demonstrated impressive clinical benefits. The family of checkpoints for mediating cancer immune evasion now includes CTLA-4, PD-1/PD-L1, CD27/CD70, FGL-1/LAG-3, Siglec-15, VISTA (PD-1L)/VSIG3, CD47/SIRPA, APOE/LILRB4, TIGIT, and many others. Despite these strides, most patients do not show lasting remission, and some cancers have been completely resistant to the therapy. The potentially lethal adverse effects of checkpoint blockade represent another major challenge, the mechanisms of which remain poorly understood. Compared to the cancer signaling pathways, such as p53 and Ras, mechanistic studies on immune checkpoint pathways are still in their infancy. To improve the responses to checkpoint blockade therapy and limit the adverse effects, it is essential to understand the molecular regulation of checkpoint molecules in both malignant and healthy cells/tissues. This book begins with an introduction to immune checkpoint therapy and its challenges, and subsequently describes the regulation of checkpoints at different levels. In closing, it discusses recent therapeutic developments based on mechanistic findings, and outlines goals for future translational studies. The book offers a valuable resource for researchers in the cancer immunotherapy field, helping to form a roadmap for checkpoint regulation and develop safer and more effective immunotherapies.