This book provides step-by-step explanations of successful implementations and practical applications of machine learning. The book's GitHub page contains software codes to assist readers in adapting materials and methods for their own use. A wide variety of applications are discussed, including wireless mesh network and power systems optimization; computer vision; image and facial recognition; protein prediction; data mining; and data discovery. Numerous state-of-the-art machine learning techniques are employed (with detailed explanations), including biologically-inspired optimization (genetic and other evolutionary algorithms, swarm intelligence); Viola Jones face detection; Gaussian mixture modeling; support vector machines; deep convolutional neural networks with performance enhancement techniques (including network design, learning rate optimization, data augmentation, transfer learning); spiking neural networks and timing dependent plasticity; frequent itemset mining; binary classification; and dynamic programming. This book provides valuable information on effective, cutting-edge techniques, and approaches for students, researchers, practitioners, and teachers in the field of machine learning.

Case-based reasoning (CBR) is an Artificial Intelligence (AI) technique to support the capability of reasoning and learning in advanced decision support systems. CBR exploits the specific knowledge collected on previously encountered and solved situations, which are known as cases. In this book, we have collected a selection of papers on very recent CBR applications. These, after an in-depth analysis of their specific application domain needs, propose proper methodological solutions and give encouraging evaluation results, which have in some cases led to the commercialization step. The collected contributions demonstrate the capability of CBR to solve or handle issues which would be too difficult to manage with other classical AI methods and techniques, such as rules or models. The heterogeneity of the involved application domains indicates the flexibility of CBR, and its applicability in all those fields where experiential knowledge is (readily) available.

Over the last two decades, the analysis of blood pressure and heart rate variability has been increasingly used to obtain information on the mechanisms responsible for cardiovascular regulation in different physiological and pathological conditions. The evidence gathered so far has strongly supported the ability of this approach to provide unique insights into the factors involved in cardiovascular control. However, studies making use of these techniques have also underlined a number of problems concerning both the selection of the most appropriate analysis procedure to be used in a given situation and the interpretation of the results thus obtained. In this book volume leading experts from both the technological and the medical milieu have deeply addressed these issues. New tools for describing the regulation of the heart and the peripheral circulation in terms of 1/f processes, nonlinear and chaotic and complex systems have also been discussed. The overall result is a collection of contributions which provide the most recent development in this stimulating field.

This cutting-edge book explores recent progress in the microelectronics arena. It examines the resultant miniaturization of component device features to nanometer size particles, and the ensuing growth in the development and use of microchip-based techniques in leading laboratories around the world. In the sixteen chapters of this volume, leading scientists present technically precise microchip-based assays for a variety of applications.

This thorough volume provides an in-depth introduction to and discussion of microRNAs (miRs) and their targets, miR functions, and computational techniques applied in miR research, thus serving the need for a comprehensive book focusing on miR target genes, miR regulation mechanisms, miR functions performed in various human diseases, and miR databases/knowledgebases. Without prior knowledge of the area of study, computational biologists, computer scientists, bioinformaticians, bench biologists, as well as clinical investigators will find it easy to follow the techniques in this collection. Written for the highly successful Methods in Molecular Biology series, chapters include the kind of detailed implementation advice that ensures successful results. Accessible and practical, Bioinformatics in MicroRNA Research functions as an ideal guide for researchers of all backgrounds to explore this vital area of study.

This scholarly set of well-harmonized volumes provides indispensable and complete coverage of the exciting and evolving subject of medical imaging systems. Leading experts on the international scene tackle the latest cutting-edge techniques and technologies in an in-depth but eminently clear and readable approach. Complementing and intersecting one another, each volume offers a comprehensive treatment of substantive importance to the subject areas. The chapters, in turn, address topics in a self-contained manner with authoritative introductions, useful summaries, and detailed reference lists. Extensively well-illustrated with figures throughout, the five volumes as a whole achieve a unique depth and breath of coverage. As a cohesive whole or independent of one another, the volumes may be acquired as a set or individually.

Despite blockchain being an emerging technology that is mainly applied in the financial and logistics domain areas, it has great potential to be applied in other industries to generate a wider impact. Due to the need for social distancing globally, blockchain has great opportunities to be adopted in digital health including health insurance, pharmaceutical supply chain, remote diagnosis, and more. Revolutionizing Digital Healthcare Through Blockchain Technology Applications explores the current applications and future opportunities of blockchain technology in digital health and provides a reference for the development of blockchain in digital health for the future. Covering key topics such as privacy, blockchain economy, and cryptocurrency, this reference work is ideal for computer scientists, healthcare professionals, policymakers, researchers, scholars, academicians, practitioners, instructors, and students.

Bioinformatics as a discipline has come of age, and there are now numerous databases and tools that are widely used by researchers in the biomedical field. However, successful development of future bioinformatics applications will depend on an appropriately formalised representation of domain knowledge.

This book provides a timely and first-of-its-kind collection of contributed chapters on anatomy ontologies. It is interdisciplinary in its approach, bringing together relevant expertise from computing and biomedical studies, and covering both theoretical and applied aspects, with an emphasis on newer work relevant to the emerging Semantic Web.

Topics and Features:

a [ Provides a comprehensive discussion of the foundations of anatomical ontologies and the state of the art in existing computational tools and applications

a [ Considers a number of fundamental modelling principles

a [ Includes chapters about research on algorithms to systematically align anatomy ontologies and to mine data in the literature, using anatomy terms

a [ Explains recent efforts to develop a common anatomy reference ontology

a [ Discusses anatomy in the context of spatio-temporal biomedical atlases

a [ Describes systems and tools for linking anatomy ontologies with each other and with other on-line resources, such as the biomedical literature

a [ Highlights the challenges of dealing with anatomy-based information on the Semantic Web

Although primarily written for readers who will be involved in developing the next generation of IT applications in the areas of life sciences, biomedical sciences and health care, this unique volume will be of interest to anyone who will furtherdevelop anatomy ontologies, who will use them, and who will be involved in the actual development of relevant (semantic) web applications.

This book is open access under a CC BY-NC 2.5 license. This book presents the VISCERAL project benchmarks for analysis and retrieval of 3D medical images (CT and MRI) on a large scale, which used an innovative cloud-based evaluation approach where the image data were stored centrally on a cloud infrastructure and participants placed their programs in virtual machines on the cloud. The book presents the points of view of both the organizers of the VISCERAL benchmarks and the participants. The book is divided into five parts. Part I presents the cloud-based benchmarking and Evaluation-as-a-Service paradigm that the VISCERAL benchmarks used. Part II focuses on the datasets of medical images annotated with ground truth created in VISCERAL that continue to be available for research. It also covers the practical aspects of obtaining permission to use medical data and manually annotating 3D medical images efficiently and effectively. The VISCERAL benchmarks are described in Part III, including a presentation and analysis of metrics used in evaluation of medical image analysis and search. Lastly, Parts IV and V present reports by some of the participants in the VISCERAL benchmarks, with Part IV devoted to the anatomy benchmarks and Part V to the retrieval benchmark. This book has two main audiences: the datasets as well as the segmentation and retrieval results are of most interest to medical imaging researchers, while eScience and computational science experts benefit from the insights into using the Evaluation-as-a-Service paradigm for evaluation and benchmarking on huge amounts of data.

Developments in the areas of biology and bioinformatics are continuously evolving and creating a plethora of data that needs to be analyzed and decrypted. Since it can be difficult to decipher the multitudes of data within these areas, new computational techniques and tools are being employed to assist researchers in their findings. The Handbook of Research on Computational Intelligence Applications in Bioinformatics examines emergent research in handling real-world problems through the application of various computation technologies and techniques. Featuring theoretical concepts and best practices in the areas of computational intelligence, artificial intelligence, big data, and bio-inspired computing, this publication is a critical reference source for graduate students, professionals, academics, and researchers.

Recent advances in drug discovery have been rapid. The second edition of Bioinformatics and Drug Discovery has been completely updated to include topics that range from new technologies in target identification, genomic analysis, cheminformatics, protein analysis, and network or pathway analysis. Each chapter provides an extended introduction that describes the theory and application of the technology. In the second part of each chapter, detailed procedures related to the use of these technologies and software have been incorporated. Written in the highly successful Methods in Molecular Biology (TM) series format, the chapters include the kind of detailed description and implementation advice that is crucial for getting optimal results in the laboratory. Thorough and intuitive, Bioinformatics and Drug Discovery, Second Edition seeks to aid scientists in the further study of the rapidly expanding field of drug discovery.

A collection of both well-established and cutting-edge methods for investigating breast cancer biology not only in the laboratory, but also in clinical settings. These readily reproducible techniques solve a variety of problems, ranging from how to collect, store, and prepare human breast tumor samples for analysis, to analyzing cells in vivo and in vitro. Additional chapters address the technology of handling biopsies, new methods for analyzing genes and gene expression, markers of clinical outcome and progress, analysis of tumor-derived proteins and antigens, validating targets, and investigating the biology of newly discovered genes.

With the decade-long desire for optimum performance using biomaterials without additional surgery, replacement or maintenance, a desperate search is underway for tailoring the physical and physico-chemical properties of the materials surface and the biosystem.
This is the first book to concentrate on the highly important area of metal-based implants and their improved functionality and acceptance by the body. It thus focuses on the properties of biomaterial-tissue interfaces, which are discussed in terms of the biomaterials and the specific biological environments they are used in. Strong emphasis is placed on the recent results and success in improving the interface characterization towards implant refinement.
From the contents:
I. Interface Influence of Materials and Surface Modifications
* Passivity-inducing and -retaining Surfaces
* Topological Surface Modifications
* Chemical Surface Modifications
II. Physical and Physicochemical Surface Characterization
* Surface Topology
* Electrochemical Characterization
* Spectroscopic Interface Characterization
* Physical Characterization of Protein Adsorption
III. Biological Characterization of the Interface and Materials Related Biosystem Reactions
* Protein and Cell Adhesion Mechanisms
* Material-induced Cell Interactions
* Topology-dependent Cellular Interactions
* Materials-dependent Formation of New Hard Tissue

Information Communication Technologies (ICT) have become an increasingly prevalent part of everyday life. Today, there are many cases in which ICT assist the elderly and people with disabilities to complete tasks once thought impossible. Enhancing the Human Experience through Assistive Technologies and E-Accessibility discusses trends in ICT in relation to assistive technologies and their impact on everyday tasks for those with disabilities. This reference work provides different perspectives on upcoming technologies and their impact on e-accessibility and e-inclusion, essential topics for researchers, businesses, and ICT product developers in the field of assistive technologies.

This teaching monograph on systems approaches to cancer research and clinical applications provides a unique synthesis, by world-class scientists and doctors, of laboratory, computational, and clinical methods, thereby establishing the foundations for major advances not possible with current methods. Specifically, the book: 1) Sets the stage by describing the basis of systems biology and bioinformatics approaches, and the clinical background of cancer in a systems context; 2) Summarizes the laboratory, clinical, data systems analysis and bioinformatics tools, along with infrastructure and resources required; 3) Demonstrates the application of these tools to cancer research; 4) Extends these tools and methods to clinical diagnosis, drug development and treatment applications; and 5) Finishes by exploring longer term perspectives and providing conclusions. This book reviews the state-of-the-art, and goes beyond into new applications. It is written and highly referenced as a textbook and practical guide aimed at students, academics, doctors, clinicians, industrialists and managers in cancer research and therapeutic applications. Ideally, it will set the stage for integration of available knowledge to optimize communication between basic and clinical researchers involved in the ultimate fight against cancer, whatever the field of specific interest, whatever the area of activity within translational research.

Evaluation Methods in Medical Informatics, Second Edition is a heavily updated and revised volume based on editors Friedman and Wyatt's successful first edition. This book incorporates the solid foundation of evaluation theories, methods, and techniques laid out in the first edition, and builds on it to include case studies from real world situations. Designed as a guide for both the informatics novice and the seasoned professional seeking a comprehensive resource, this book explores information systems evaluation from the ground up. Critique and disscussion of actual evaluation efforts will guide the reader through real world application of the techniques described.

Just like its first edition, this volume is an unparalled reference for a broad range of health information professionals. From those in training for careers in informatics to on-site medical information systems staff, Evaluation Methods in Medical Informatics, Second Edition is an invaluable guide to successful evaluation of information technology in health care.

In excess of 7 million people worldwide die of coronary heart disease each year. Only one-third of these heart attack victims recover completely. The remainder suffer the consequences of myocardial infarction and its ill fated remodeling process, resulting in chronic congestive heart failure. This malady alone is the leading cause of hospital admissions in the United States.

New breakthroughs in stem cell therapy and tissue engineering have promised to reverse this dismal outcome by cardiovascular repair. World authorities, including scientists and regulatory authorities, have joined in a collaborative effort to present for the reader the first collective review of stem cell therapy for the treatment of cardiovascular disease. These contributions in basic science, pre-clinical and clinical experience guided by the regulatory pathways, assure a rapid course of translational research and clinical trials.

The contents of this publication will become a prerequisite for those preparing to meet the challenges of this exciting and potentially rewarding field of stem cell research.

The coupling of biological and electronic systems has in the past few years emerged as a field of increasing importance. Achievements like the cardiac pacemaker have paved the way for more sophisticated approaches, such as the lab-on-a-chip and DNA computers. This book presents reviews on some of the most promising projects in this interdisciplinary research field, covering topics from bioinformatics to biosensor technology.

This book introduces a new cyberphysical system that combines clinical and basic neuroscience research with advanced data analysis and medical management tools for developing novel applications for the management of epilepsy. The authors describe the algorithms and architectures needed to provide ambulatory, diagnostic and long-term monitoring services, through multi parametric data collection. Readers will see how to achieve in-hospital quality standards, addressing conventional "routine" clinic-based service purposes, at reduced cost, enhanced capability and increased geographical availability. The cyberphysical system described in this book is flexible, can be optimized for each patient and is demonstrated in several case studies.

This book is a comprehensive, interdisciplinary resource for the latest information on implantable medical devices, and is intended for graduate students studying electrical engineering, electronic instrumentation, and biomedical engineering. It is also appropriate for academic researchers, professional engineers, practicing doctors, and paramedical staff. Divided into two sections on Basic Concepts and Principles, and Applications, the first section provides an all-embracing perspective of the electronics background necessary for this work. The second section deals with pacing techniques used for the heart, brain, spinal cord, and the network of nerves that interlink the brain and spinal cord with the major organs, including ear and eye prostheses. The four main offshoots of implantable electronics, which this book discusses, are: The insertion of an implantable neural amplifier for accurate recording of neural signals for neuroengineering studies The use of implantable pulse generators for pacing the activities of diseased organs The use of implantable sensors for observing the influence of therapy and monitoring a patient's biological parameters The use of drug delivery systems to supervise the supply of accurate doses of medicine to affected parts Readers will also find chapters on the essentials of clocking and timing circuits, pulse generator circuits, neural amplifiers, batteries, biomaterials and biocompatibility, and more. Unique to this book is also a chapter on cyber security and confidentiality concerns with implants. End-of-chapter questions and exercises help readers apply the content to practical use, making this an ideal book for anyone wishing to learn more about implantable devices.

With sixty years of combined experience, the authors of this extensively revised book have learned to emphasize the fundamental materials science, structure-property relationships, and biological responses as a foundation for a wide array of biomaterials applications. This edition includes a new chapter on tissue engineering and regenerative medicine, approximately 1900 references to additional reading, extensive tutorial materials on new developments in spinal implants and fixation techniques and theory. It also offers systematic coverage of orthopedic implants, and expanded treatment of ceramic materials and implants.

This book explores various applications of deep learning-oriented diagnosis leading to decision support, while also outlining the future face of medical decision support systems. Artificial intelligence has now become a ubiquitous aspect of modern life, and especially machine learning enjoysgreat popularity, since it offers techniques that are capable of learning from samples to solve newly encountered cases. Today, a recent form of machine learning, deep learning, is being widely used with large, complex quantities of data, because today's problems require detailed analyses of more data. This is critical, especially in fields such as medicine. Accordingly, the objective of this book is to provide the essentials of and highlight recent applications of deep learning architectures for medical decision support systems. The target audience includes scientists, experts, MSc and PhD students, postdocs, and any readers interested in the subjectsdiscussed. The book canbe used as a reference work to support courses on artificial intelligence, machine/deep learning, medical and biomedicaleducation.