Over the past decade, significant advances in the fields of stem cell biology, bioengineering, and animal models have converged on the discipline of regenerative medicine. Significant progress has been made leading from pre-clinical studies through phase 3 clinical trials for some therapies. This volume provides a state-of-the-art report on tissue engineering toward the goals of tissue and organ restoration and regeneration. Examples from different organ systems illustrate progress with growth factors to assist in tissue remodeling; the capacity of stem cells for restoring damaged tissues; novel synthetic biomaterials to facilitate cell therapy; transplantable tissue patches that preserve three-dimensional structure; synthetic organs generated in culture; aspects of the immune response to transplanted cells and materials; and suitable animal models for non-human clinical trials.

The chapters of this book are organized into six sections: Stem Cells, Biomaterials and the Extracellular Environment, Engineered Tissue, Synthetic Organs, Immune Response, and Animal Models. Each section is intended to build upon information presented in the previous chapters, and set the stage for subsequent sections. Throughout the chapters, the reader will observe a common theme of basic discovery informing clinical translation, and clinical studies in animals and humans guiding subsequent experiments at the bench.

In his treatment of activity measurement in the fields of medicine and psychology, Tryon gives us a book that clearly accomplishes the three purposes set out in its preface. The reader is definitely encouraged to wrestle with the concepts ofbehavior and activity in terms of "dynamic physical quantities." Moreover, the reader cannot help but become familiarized with the technology available for performing activity measurements. Motivation to use some of this technology is enhanced by the very extensive summary of other people's uses of it provided throughout the book. Readers may find the book provocative on a number of Ievels. It is concep tually provocative to those of us struggling with understanding basic issues in the assessment and measurement of behavior. It is practically provocative to those of us working with various forms of behavioral difference, especially in clinical popula tions. The book provokes because it is essentially an unfinished exploration, open ing us to numerous pathways that, when traveled, reveal still more paths to explore. In this sense the book should be heuristically useful both in the more traditional empirical sense, and in terms of its Stimulation of conceptual discussion."

Swamy Laxminarayan was an outstanding researcher active in many diverse fields of science and technology. He was one of the most prominent biomedical scientists and his ideas influenced the Biomedical Technology substantially. This book tries to provide an overview on the multiple achievements of Swamy Laxminarayan. It presents a collection of his most outstanding publications and an overview on his outstanding life. This Volume is the second part of the liber amicorum in Memory of Swamy Laxminarayan.

This is an introduction to the patient monitoring technologies that are used in today's acute care environments, including the operating room, recovery room, emergency department, intensive care unit, and telemetry floor. To a significant extent, day-to-day medical decision-making relies on the information provided by these technologies, yet how they actually work is not always addressed during education and training. The editors and contributors are world-renowned experts who specialize in developing, refining, and testing the technology that makes modern-day clinical monitoring possible. Their aim in creating the book is to bridge the gap between clinical training and clinical practice with an easy to use and up-to-date guide. * How monitoring works in a variety of acute care settings * For any healthcare professional working in an acute care environment * How to apply theoretical knowledge to real patient situations * Hemodynamic, respiratory, neuro-, metabolic, and other forms of monitoring * Information technologies in the acute care setting * New and future technologies

Swamy Laxminarayan was an outstanding researcher active in many diverse fields of science and technology. This liber amicorum in memory of Swamy Laxminarayan collects Medical and Biological Engineering and Informatics contributions to the Safety and Security of Individuals and Society. The authors are renowned scientists and the aim of their writing is to recall the enormous personal and scientific achievement of Swamy Laxminarayan.

DNA-chip analysis has come a long way since the first conference in Moscow in 1991. Nowadays, DNA-microarrays seem to be a common commodity in biological sciences. The complexity hidden behind the apparent ease of such studies, however, is highlighted by the fact that it took about ten years before the methodology really set off. Also, on closer scrutiny, one realises that some problems still remain. Nevertheless, microarrays produce data on a scale beyond imagination a few years ago. The authors of the book took part in bringing this about. They are well-known experts in the field, many - like Edwin Southern, Hans Lehrach, Radoje Drmanac, Pavel Pevzner and Charles Cantor - have been actively pursuing array technology for more than a decade. They demonstrate the continuous development in both technology and application areas and elucidate on critical points that need to be considered when performing microarray analyses.

Since the publication of Hospital Computer Systems, edited by Morris F. Collen in 1974, many reviews have appeared presenting sound analyses and evaluations of the of hospital information systems (HIS). Many of latest developments and design them were published within the IMIA Working Group 10 which is devoted to HIS but still an updated and critical overview was lacking which reviews what has been achieved since then and which also takes a inspired glance into the future. As the quotation from Romain Rolland introducing this latest work by Rudi van de Velde states "/ love and admire the past but I would like the future to be even better. " Hence, it is noteworthy to point out that this book includes topics ranging from "Trends in Medical Informatics, Setting the Scene" to "HIS in the Years Ahead" and dealing separately with hospital management concerns and medical applications. Hospital management is the field wholly supported by the HIS, since it deals with transactions issued by the team of patient care professionals about the patients and, as such, handles computer communications between the more or less autonomous substructures of the hospital, including central and costly resources such as laboratories, radiology departments and pharmacies, and links medical and administrative services (as Marion J. Ball already pointed out when she undertook to categorize the HIS).

The three-volume set LNCS 8149, 8150, and 8151 constitutes the refereed proceedings of the 16th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2013, held in Nagoya, Japan, in September 2013. Based on rigorous peer reviews, the program committee carefully selected 262 revised papers from 789 submissions for presentation in three volumes. The 81 papers included in the third volume have been organized in the following topical sections: image reconstruction and motion modeling; machine learning in medical image computing; imaging, reconstruction, and enhancement; segmentation; physiological modeling, simulation, and planning; intraoperative guidance and robotics; microscope, optical imaging, and histology; diffusion MRI; brain segmentation and atlases; and functional MRI and neuroscience applications.

The three-volume set LNCS 8149, 8150, and 8151 constitutes the refereed proceedings of the 16th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2013, held in Nagoya, Japan, in September 2013. Based on rigorous peer reviews, the program committee carefully selected 262 revised papers from 789 submissions for presentation in three volumes. The 86 papers included in the second volume have been organized in the following topical sections: registration and atlas construction; microscopy, histology, and computer-aided diagnosis; motion modeling and compensation; segmentation; machine learning, statistical modeling, and atlases; computer-aided diagnosis and imaging biomarkers; physiological modeling, simulation, and planning; microscope, optical imaging, and histology; cardiology; vasculatures and tubular structures; brain segmentation and atlases; and functional MRI and neuroscience applications.

Bernhard Gleich introduces Magnetic Particle Imaging (MPI) including all aspects that are necessary for a complete understanding. MPI is a new imaging modality invented by Bernhard Gleich and Jurgen Weizenecker. The method is capable of imaging the distribution of superparamagnetic iron oxide particles (SPIOs) with high sensitivity, high spatial resolution, and high imaging speed. The author summarizes the results of a number of original papers and countless innovations he has elaborated in the young discipline of magnetic particle imaging."

Patient-Centered Digital Healthcare Technology explores the creative intersection of novel, emerging technologies and medicine. This convergence is transforming the landscape of healthcare with the overarching objectives of improving clinical outcomes and advocating wellness. The concept of encountering or treating a medical condition when it has already become disturbingly manifest is being replaced by earlier awareness, diagnosis, and proactive intervention enabled by technologies. This book features a range of innovations in health information systems and big data, artificial intelligence and machine learning, real-time home monitoring tools, smartphone apps, medical robotics and intelligent machines, virtual and augmented realities, genome sequencing, blockchain and gamification in healthcare. Intuitive digital health solutions motivate end-users to become active partners in their care, thus enhancing patient engagement and empowerment. This may perhaps lead to yet the most gratifying consequence of novel and emerging technologies: the democratization of healthcare. This book offers a valuable resource for healthcare providers, engineers, data and computer scientists, researchers, practitioners in academia, biomedical industry and multi-disciplinary clinical settings. Subjects include informatics, computing, networking, wireless and mobile applications, and robotic sensing that collectively improve healthcare access and delivery.

"Clinical Laboratory Blood Banking and Transfusion Medicine: Principles and Practices" provides readers with the didactic foundation, background, and tools to successfully function in a typical transfusion medicine laboratory. The text's teaching and learning package includes an Instructor's Manual, lecture slides, and test bank. Teaching and Learning Experience:

• Presents detailed technical information and real-life case studies that help learners envision themselves as members of the health care team
• Mixes theoretical and practical information that allows learners to analyze and synthesize the concepts
• Complemented by a variety of ancillary materials designed to help instructors be more effective and students more successful

This book constitutes the thoroughly refereed post-conference proceedings of the Second International Symposium on Foundations of Health Information Engineering and Systems, FHIES 2012, held in Paris, France, in August 2012. The 11 revised full papers presented together with 3 short papers in this volume were carefully reviewed and selected from 26 submissions. Topics of interest covered in this volume are such as software engineering; systems engineering; data engineering; applied mathematics; and psychology.

Despite medical technological advances, the major killers with which we must currently contend have remained essentially the same for the past few decades. Stroke, cancer, and heart disease together account for the vast majority of deaths in the United States. In addition, due to improved medical care, many Americans who would previously have died now survive these disorders, necessitating that they receive appropriate rehabilitation efforts. One result of our own medical advances is that we must now accept the high costs associated with providing quality care to individuals who develop one of these problems, and we must avail ourselves to assist of afflicted individuals. families Despite the relative stability of causes of death and disability, the health-care field is currently experiencing tremendous pressures, both from professionals with in the field, who desire more and better technology than is currently available, and from the public and other payers of health care (e.g., insurance companies), who seek an end to increasing health-care costs. These pressures, along with an increased emphasis on providing evidence of cost-effectiveness and quality assurance, are substantially changing the way that health-care professionals perform their jobs.

This book constitutes the refereed proceedings of the 8th IAPR International Conference on Pattern Recognition in Bioinformatics, PRIB 2013, held in Nice, France, in June 2013. The 25 revised full papers presented were carefully reviewed and selected from 43 submissions. The papers are organized in topical sections on bio-molecular networks and pathway analysis; learning, classification, and clustering; data mining and knowledge discovery; protein: structure, function, and interaction; motifs, sites, and sequence analysis.

The current book presents select proceedings from the Eleventh Annual Conference of AASMI (The American Association for the Study of Mental Imagery) in Washington, DC, 1989, and from the Twelfth Annual Conference of AASMI in Lowell and Boston, MA, 1990. This presentation of keynote addresses, research papers, and clinical workshops reflects a broad range of theoretical positions and a diverse repertoire of methodological approaches. Within this breadth and diversity, however, four aspects of the nature of imagery stand out: its mental nature, its private nature, its conscious nature, and its symbolic nature. The mental nature of imagery--i.e., its epistemological aspect--is explored in the book's first section of articles by Marcia Johnson, Laura Snodgrass, Leonard Giambra and Alicia Grodsky, Vija Lusebrink, Selina Kassels, Helane Rosenberg and Yakov Epstein, M. Elizabeth D'Zamko and Lynne Schwab, and Laurence Martel. These first eight articles fall, essentially, into various domains of cognitive psychology, including the psychology of art and educational psychology. In the second section, the private nature of imagery is studied by Ernest Hartmann, Nicholas Spanos, Benjamin Wallace, Deirdre Barrett, John Connolly, James Honeycutt, Dominique Gendrin, and James Honeycutt and J. Michael Gotcher. These studies, which fall within the realm of personality and social psychology, bring to light the fact that many very public interpersonal behaviors reflect very private images. Such behaviors range from interpersonal rapport with a hypnotist, to rapport with a forensic jury.

The "information explosion" in recent decades has made it impossible for practicing physicians (even specialists) to keep up with all the information potentially at their disposal. As a result, it is not surprising that empirical studies have shown that physicians do not always make optimal decisions. Thus, medical expert systems are now available to support - not replace - physicians and healthcare providers in their goal of providing the best possible healthcare to every patient. Knowledge Engineering in Health Informatics is a guide to the creation of such systems. Presenting the core material for courses such as Medical Knowledge Engineering and Expert System Development, it allows non-experts to make diagnostic decisions with the precision and accuracy of medical experts thanks to the help of the computer.

This book constitutes the refereed proceedings of the First International Conference on Human Factors in Computing and Informatics, SouthCHI 2013, held in Maribor, Slovenia, in July 2013. SouthCHI is the successor of the USAB Conference series and promotes all aspects of human-computer interaction. The 38 revised full papers presented together with 12 short papers, 4 posters and 3 doctoral thesis papers were carefully reviewed and selected from 169 submissions. The papers are organized in the following topical sections: measurement and usability evaluation; usability evaluation - medical environments; accessibility methodologies; game-based methodologies; Web-based systems and attribution research; virtual environments; design culture for ageing well: designing for "situated elderliness"; input devices; adaptive systems and intelligent agents; and assessing the state of HCI research and practice in South-Eastern Europe.

Responding to demographic changes among physicians and six years of new experiences since the first edition, Dr. Myers has revamped his well received work. He includes new information on older physicians, gay and lesbian physicians, medical student abuse, economic strain on interns, depression, malpractice, ethical violations, and other stressors which may cause marital difficulties. Therapists seeking to council symptomatic physicians, as well physicians themselves, will find this a humane, readable, and useful book.

This issue of "International Review of Neurobiology" brings together cutting-edge research on tissue engineering of the peripheral nerve. It reviews current knowledge and understanding, provides a starting point for researchers and practitioners entering the field, and builds a platform for further research and discovery.
This volume of "International Review of Neurobiology" brings together cutting-edge research on tissue engineering of the peripheral nerve. It reviews current knowledge and understanding, provides a starting point for researchers and practitioners entering the field, and builds a platform for further research and discovery.

The book uses STELLA software to develop simulation models, thus allowing readers to convert their understanding of a phenomenon to a computer model, and then run it to yield the inevitable dynamic consequences built into the structure. Part I provides an introduction to modeling dynamic systems, while Part II offers general modeling methods. Parts III through VIII then apply these methods to model real-world phenomena from chemistry, genetics, ecology, economics, and engineering. A clear, approachable introduction to the modeling process, of interest in any field where real problems can be illuminated by computer simulation.

This book provides a theoretical foundation for the analysis of discrete data such as count and binary data in the longitudinal setup. Unlike the existing books, this book uses a class of auto-correlation structures to model the longitudinal correlations for the repeated discrete data that accommodates all possible Gaussian type auto-correlation models as special cases including the equi-correlation models. This new dynamic modelling approach is utilized to develop theoretically sound inference techniques such as the generalized quasi-likelihood (GQL) technique for consistent and efficient estimation of the underlying regression effects involved in the model, whereas the existing 'working' correlations based GEE (generalized estimating equations) approach has serious theoretical limitations both for consistent and efficient estimation, and the existing random effects based correlations approach is not suitable to model the longitudinal correlations. The book has exploited the random effects carefully only to model the correlations of the familial data. Subsequently, this book has modelled the correlations of the longitudinal data collected from the members of a large number of independent families by using the class of auto-correlation structures conditional on the random effects. The book also provides models and inferences for discrete longitudinal data in the adaptive clinical trial set up. The book is mathematically rigorous and provides details for the development of estimation approaches under selected familial and longitudinal models. Further, while the book provides special cares for mathematics behind the correlation models, it also presents the illustrations of the statistical analysis of various real life data. This book will be of interest to the researchers including graduate students in biostatistics and econometrics, among other applied statistics research areas. Brajendra Sutradhar is a University Research Professor at Memorial University in St. John's, Canada. He is an elected member of the International Statistical Institute and a fellow of the American Statistical Association. He has published about 110 papers in statistics journals in the area of multivariate analysis, time series analysis including forecasting, sampling, survival analysis for correlated failure times, robust inferences in generalized linear mixed models with outliers, and generalized linear longitudinal mixed models with bio-statistical and econometric applications. He has served as an associate editor for six years for Canadian Journal of Statistics and for four years for the Journal of Environmental and Ecological Statistics. He has served for 3 years as a member of the advisory committee on statistical methods in Statistics Canada. Professor Sutradhar was awarded 2007 distinguished service award of Statistics Society of Canada for his many years of services to the society including his special services for society's annual meetings.

This user-friendly, comprehensive guide places evaluation in the context of HIV to give all health care professionals the necessary tools for developing and implementing successful HIV interventions. Every aspect of evaluation is discussed, including: * the social and political context of evaluation * coding and inter-rater reliability procedures * barriers to evaluation and solution * the dissemination of results * the application of theory to HIV interventions. Case studies and examples from both the US and abroad to illustrate practical issues, and numerous tables and figures complement the text.

This second edition of a pioneering technical work in biomedical informatics provides a very readable treatment of the deep computational ideas at the foundation of the field. "Principles of Biomedical Informatics, "2nd Edition is radically reorganized to make it especially useable as a textbook for courses that move beyond the standard introductory material. It includes exercises at the end of each chapter, ideas for student projects, and a number of new topics, such as: tree structured data, interval trees, and time-oriented medical data and their use On Line Application Processing (OLAP), an old database idea that is only recently coming of age and finding surprising importance in biomedical informatics a discussion of nursing knowledge and an example of encoding nursing advice in a rule-based system X-ray physics and algorithms for cross-sectional medical image reconstruction, recognizing that this area was one of the most central to the origin of biomedical computing an introduction to Markov processes, and an outline of the elements of a hospital IT security program, focusing on fundamental ideas rather than specifics of system vulnerabilities or specific technologies.

It is simultaneously a unified description of the core research concept areas of biomedical data and knowledge representation, biomedical information access, biomedical decision-making, and information and technology use in biomedical contexts, and a pre-eminent teaching reference for the growing number of healthcare and computing professionals embracing computation in health-related fields.

As in the first edition, it includes many worked example programs in Common LISP, the most powerful and accessible modern language for advanced biomedical concept representation and manipulation.

The text also includes humor, history, and anecdotal material to balance the mathematically and computationally intensive development in many of the topic areas. The emphasis, as in the first edition, is on ideas and methods that are likely to be of lasting value, not just the popular topics of the day. Ira Kalet is Professor Emeritus of Radiation Oncology, and of Biomedical Informatics and Medical Education, at the University of Washington. Until retiring in 2011 he was also an Adjunct Professor in Computer Science and Engineering, and Biological Structure. From 2005 to 2010 he served as IT Security Director for the University of Washington School of Medicine and its major teaching hospitals. He has been a member of the American Medical Informatics Association since 1990, and an elected Fellow of the American College of Medical Informatics since 2011. His research interests include simulation systems for design of radiation treatment for cancer, software development methodology, and artificial intelligence applications to medicine, particularly expert systems, ontologies and modeling.
* Develops principles and methods for representing biomedical data, using information in context and in decision making, and accessing information to assist the medical community in using data to its full potential
* Provides a series of principles for expressing biomedical data and ideas in a computable form to integrate biological, clinical, and public health applications
* Includes a discussion of user interfaces, interactive graphics, and knowledge resources and reference material on programming languages to provide medical informatics programmers with the technical tools to develop systems"

Demystifies Biomedical and Biological Big Data Analyses Big Data Analysis for Bioinformatics and Biomedical Discoveries provides a practical guide to the nuts and bolts of Big Data, enabling you to quickly and effectively harness the power of Big Data to make groundbreaking biological discoveries, carry out translational medical research, and implement personalized genomic medicine. Contributing to the NIH Big Data to Knowledge (BD2K) initiative, the book enhances your computational and quantitative skills so that you can exploit the Big Data being generated in the current omics era. The book explores many significant topics of Big Data analyses in an easily understandable format. It describes popular tools and software for Big Data analyses and explains next-generation DNA sequencing data analyses. It also discusses comprehensive Big Data analyses of several major areas, including the integration of omics data, pharmacogenomics, electronic health record data, and drug discovery. Accessible to biologists, biomedical scientists, bioinformaticians, and computer data analysts, the book keeps complex mathematical deductions and jargon to a minimum. Each chapter includes a theoretical introduction, example applications, data analysis principles, step-by-step tutorials, and authoritative references.