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.

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.

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.

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.

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.

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.

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.

Cognitive Intelligence with Neutrosophic Statistics in Bioinformatics investigates and presents the many applications that have arisen in the last ten years using neutrosophic statistics in bioinformatics, medicine, agriculture and cognitive science. This book will be very useful to the scientific community, appealing to audiences interested in fuzzy, vague concepts from which uncertain data are collected, including academic researchers, practicing engineers and graduate students. Neutrosophic statistics is a generalization of classical statistics. In classical statistics, the data is known, formed by crisp numbers. In comparison, data in neutrosophic statistics has some indeterminacy. This data may be ambiguous, vague, imprecise, incomplete, and even unknown. Neutrosophic statistics refers to a set of data, such that the data or a part of it are indeterminate in some degree, and to methods used to analyze the 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.

Medical technology is a fast growing field. This new title gives a comprehensive review of modern optical technologies alongside their clinical deployment. It bridges the technology and clinical domains and will be suitable in both technical and clinical environments. It introduces and develops basic physical methods (in optics, photonics, and metrology) and their applications in the design of optical systems for use in medical technology with a special focus on ophthalmology. Medical applications described in detail demonstrate the advantage of utilizing optical-photonic methods. Exercises and solutions for each chapter help understand and apply basic principles and methods. An associated website run by the authors will include slides to facilitate the teaching/training of this material, and typical images collected by the described methods, eg videos of endoscopy or navigation, OCT, etc.

Featuring 26 chapters by doctors and other researchers, this handbook reviews the basic information and offers specific instructions concerning: informed consent, conscious sedation and monitoring, antibiotic prophylaxis, endoscopic electrosurgery, the benign esophagus, esophageal manometry, pH test

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 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.

From bandage to the bioreactor, this book looks at five different device technologies from inception to healthcare practice, drawing on medical sociology, science and technology studies and political science. It examines "evidence," regulation and governance processes, and diverse stakeholders in innovating the technologies that shape health care.

Phototherapy exemplifies scientific medicine. The major advances have resulted from effective collaborations between basic researchers and clinicians. This book is directed to clinicians and basic researchers who are interested in current and emerging implementations of phototherapy. It can serve as an introductory reference and a textbook for advanced undergraduate and graduate courses in medical physics and biomedical engineering. The emphasis is on the science underlying the various phototherapy procedures, which encompasses aspects of classical and molecular photophysics, biological photochemistry, photobiology and biophotonics. Topics that do not usually appear in other general sources include the theory and applications of tissue optics, Monte Carlo simulation, light dosimetry, and analytical modeling of laser surgery. Many illustrative problems with answers are provided to exemplify the more quantitative aspects of each topic.

This book highlights the responsibility of medical device designers and engineers to eliminate sites of failure and to test devices to demonstrate their ultimate safety and efficacy. It also evaluates biomaterials and their properties as related to the design and reliability of medical devices. The principles that are described are readily applicable to the biomaterial scaffolds used for generating tissue-engineered constructs.

This book covers emerging trends in signal processing research and biomedical engineering, exploring the ways in which signal processing plays a vital role in applications ranging from medical electronics to data mining of electronic medical records. Topics covered include statistical modeling of electroencephalograph data for predicting or detecting seizure, stroke, or Parkinson's; machine learning methods and their application to biomedical problems, which is often poorly understood, even within the scientific community; signal analysis; medical imaging; and machine learning, data mining, and classification. The book features tutorials and examples of successful applications that will appeal to a wide range of professionals and researchers interested in applications of signal processing, medicine, and biology.

The term "muscular dystrophy" (MD) describes a group of primary genetic disorders of muscle that often have a distinctive and recognizable clinical p- notype, accompanied by characteristic, but frequently not pathognomonic, pathological features. Research into the molecular basis of the MDs by a c- bination of positional cloning and candidate gene analysis has provided the basis for a reclassification of these disorders, with genetic and protein data augmenting traditional clinically based nomenclature. These findings have brought insights into the molecular pathogenesis of MD, with an increasing number of potential pathways involved in arriving at a dystrophic phenotype. Some common themes can be recognized, however, including the involvement of five members of the dystrophin-associated complex (dystrophin and four sarcoglycans) in different types of MD, and the involvement of two nuclear envelope proteins in producing an Emery-Dreifuss MD phenotype. Other d- ease-associated genes appear to cause MD in a completely unrelated way, such as the involvement of calpain 3 in a form of limb-girdle muscular dystrophy. Section 1 of Muscular Dystrophy: Methods and Protocols reviews tra- tional strategies used to identify MDs. Meantime, techniques developed as a result of the research strategies described previously have become an integral part of the management of many patients with MD and their families, and these techniques are addressed in Sections 2 (DNA-based tests) and 3 (p- tein-based analyses). The continued effort to translate this enhanced und- standing into a molecular cure or treatment for MD is reviewed in Section 4.

Dr. Myrtle A. Davis has assembled a panel of cutting-edge scientists to describe their best methods for detecting, illuminating, and quantifying apoptotic mechanisms in a way that is useful for the design of toxicology and pharmacology studies. These state-of-the-art techniques include flow cytometric, fluorometric, and laser scanning methods for quantifying and characterizing apoptosis, as well as protocols for the use of DNA microarray technology, high throughput screens, and ELISA. Immunocytochemical methods for measuring biochemical and molecular endpoints in tissue sections will be highly useful for those carrying out studies in whole animal models as opposed to cell culture systems.

Recent years have seen an upsurge of significant interest in cell-based technologies. A range of productive and lively debate have taken place relating to tissue engineering, namely the construction of tissues and whole organs using molecularly-designed resorbable biomaterials to create tissue de novo, the potential use of human embryonic stem cells for transplantation and regenerative medicine, with similar potential for adult-derived stem cells, and gene therapy, in relation to cell transplantation. New findings in biomimetic materials, cell signalling pathways, extracellular matrix receptors and ligands, growth factors, and the human genome project, all present particularly motivating sources for the development of research in the evergrowing biomedical field. The purpose of this book is to stimulate further the work in biomedicine and to make the issues of related scientific disciplines accessible to a wider readership by characterising the current state of research in the biomedical field. The lectures and a selection of the presentations from BlOMED 200- th The 9 International Symposium on Biomedical Science and Technology, held in September 2002 in Turkey- constitute the basis for the volume. Tissue engineering, stem cells, cell and gene therapies were the major topics presented and discussed in the symposium. This book is intended to serve as an up-to-date synopsis of the major developments of our area through the work reflected in BlOMED 2002, though not covering all aspects of the topics, due to the natural restrictions within a volume of this kind.

Medical Informatics and biomedical computing have grown in quantum measure over the past decade. An abundance of advances have come to the foreground in this field with the vast amounts of biomedical and genomic data, the Internet, and the wide application of computer use in all aspects of medical, biological, and health care research and practice. MEDICAL INFORMATICS: Knowledge Management and Data Mining in Biomedicine covers the basic foundations of the area while extending the foundational material to include the recent leading-edge research in the field. The newer concepts, techniques, and practices of biomedical knowledge management and data mining are introduced and examined in detail. It is the research and applications in these areas that are raising the technical horizons and expanding the utility of informatics to an increasing number of biomedical professionals and researchers.

The book is divided into three major topical sections.

Section I presents the foundational information and knowledge management material and includes topics such as: bioinformatics challenges and standards, security and privacy, ethical and social issues, and biomedical knowledge mapping.

Section II discusses the topics which are relevant to knowledge representations & access and includes topics such as: representations of medical concepts and relationships, genomic information retrieval, 3D medical informatics, public access to anatomic images, and creating and maintaining biomedical ontologies.

Section III examines the emerging application research in data mining, biomedical textual mining, and knowledge discovery research and includes topics such as: semantic parsing and analysisfor patient records, biological relationships, gene pathways, and metabolic networks, exploratory genomic data analysis, joint learning using data and text mining, and disease informatics and outbreak detection.

The book is a comprehensive presentation of the foundations and leading application research in medical informatics/biomedicine. These concepts and techniques are illustrated with detailed case studies.

The authors are widely recognized professors and researchers in Schools of Medicine and Information Systems from the University of Arizona, University of Washington, Columbia University, and Oregon Health & Science University. In addition, individual expert contributing authors have been commissioned to write chapters for the book on their respective topical expertise.

Computational Intelligence is comparatively a new field but it has made a tremendous progress in virtually every discipline right from engineering, science, business, m- agement, aviation to healthcare. Computational intelligence already has a solid track-record of applications to healthcare, of which this book is a continuation. We would like to refer the reader to the excellent previous volumes in this series on computational intelligence in heal- care [1-3]. This book is aimed at providing the most recent advances and state of the art in the practical applications of computational intelligence paradigms in healthcare. It - cludes nineteen chapters on using various computational intelligence methods in healthcare such as intelligent agents and case-based reasoning. A number of fielded applications and case studies are presented. Highlighted are in particular novel c- putational approaches to the semantic management of health information such as in the Web 2.0, mobile agents such as in portable devices, learning agents capable of adapting to diverse clinical settings through case-based reasoning, and statistical - proaches in computational intelligence. This book is targeted towards scientists, application engineers, professors, health professionals, professors, and students. Background information on computational intelligence has been provided whenever necessary to facilitate the comprehension of a broad audience including healthcare practitioners.

The promise and prospects for mobile technologies in healthcare service delivery-particularly as experienced by patients and other users-are the focus of this forward-looking volume. Its detailed sociotechnical perspective takes in factors influencing patient and provider adoption of technological advances, in addition to the well-known cost and accessibility advantages. Enlightening reports show mobile health technologies in multiple contexts as an impetus for behavioral change, a means of monitoring health changes, a growing trend in service delivery, and an emerging health frontier worldwide. Together, these chapters point to the continued expansion-and global reach-of mobile technology in the next stage of healthcare services. Included in the coverage: Behavior change techniques used in mobile applications targeting physical activity: a systematic review Mobile health integration in pregnancy Unintended users, uses, and consequences of mobile weight loss apps: using eating disorders as a case study Intention vs. perception: understanding the differences in physicians' attitudes towards mobile health applications HealthGuide: a personalized mobile patient guidance system Adoption of sensors in mobile health Current and Emerging mHealth Technologies is salient reading for researchers interested in mobile health development and implementation as well as technology adoption, and mobile health system developers and managers who are interested in the implications of mobile health use by patients and/or healthcare professionals. It can also be used for courses in technology adoption and health technologies.