Managing Medical Devices within a Regulatory Framework helps administrators, designers, manufacturers, clinical engineers, and biomedical support staff to navigate worldwide regulation, carefully consider the parameters for medical equipment patient safety, anticipate problems with equipment, and efficiently manage medical device acquisition budgets throughout the total product life cycle. This contributed book contains perspectives from industry professionals and academics providing a comprehensive look at health technology management (HTM) best practices for medical records management, interoperability between and among devices outside of healthcare, and the dynamics of implementation of new devices. Various chapters advise on how to achieve patient confidentiality compliance for medical devices and their software, discuss legal issues surrounding device use in the hospital environment of care, the impact of device failures on patient safety, methods to advance skillsets for HTM professionals, and resources to assess digital technology. The authors bring forth relevant challenges and demonstrate how management can foster increased clinical and non-clinical collaboration to enhance patient outcomes and the bottom line by translating the regulatory impact on operational requirements.

Combining the latest thinking in the field with practical, step-by-step guidance, the Third Edition of John W. Creswell and Vicki L. Plano Clark's Designing and Conducting Mixed Methods Research now covers seven mixed methods designs with accompanying journal articles illustrating each design. The authors walk readers through the entire research process, and present updated examples from published mixed methods studies drawn from multiple disciplines. In addition, this new edition includes information about the dynamic and evolving nature of the field of mixed methods research, four additional methodological approaches, and coverage of new directions in mixed methods.

This volume details a collection of laboratory protocols to study asthma in mice and humans. Chapters cover animal models of asthma, methods to measure asthma-related molecules, protocols to detect, isolate, culture and stimulate cells that contribute to asthma in mice and humans, methods to deplete these cells in vivo and study responses of intact airway tissues ex vivo. Written in the format of the highly successful Methods in Molecular Biology series, each chapter includes an introduction to the topic, lists necessary materials and reagents, includes tips on troubleshooting and known pitfalls, and step-by-step, readily reproducible protocols. Authoritative and cutting-edge, Asthma: Methods and Protocols aims to be a foundation for future studies and to be a source of inspiration for new investigations in the field.

One of the first applications of ultrasound was in submarine sonar equip ment. Since then ultrasound has found increasing applications, particularly in industry, but increasingly in biomedicine. For many years ultrasound has been used in physical therapy, although only in the past decade or two has it evolved from laboratory curiosity to a well-established diagnostic imaging modality. Ultrasound is now a widely accepted, indeed pervasive, diagnos tic and therapeutic tool in the medical field, and its applications are increasing rapidly. Our intent in developing this book is to provide a coherent tutorial intro duction to the field of medical ultrasound at a level suitable for those en tering the area from either medical or scientific backgrounds. The topics discussed should be of interest to nearly all medical and health care per sonnel needing to understand or operate ultrasonic devices, including clini cians, medical technicians, physiotherapists, medical physicists, and other biomedical scientists interested in the field. The book opens with a description of the basic principles of propagating acoustic waves, explains how they interact with a wide range of biological systems, and outlines the effects they produce. To provide practical infor mation to operators of ultrasound equipment, we have included thorough coverage of the details of ultrasonic instrumentation and measurement techniques, and set forth the framework for an effective quality assurance program."

Research in the pharmaceutical sciences and medicinal chemistry has taken an important new direction in the past two decades with a focus on large molecules, especially peptides and proteins, as well as DNA therapeutics. In Drug Design and Discovery: Methods and Protocols, leading experts provide an in-depth view of key protocols that are commonly used in drug discovery laboratories. Covering both classic and cutting-edge techniques, this volume explores computational docking, quantitative structure-activity relationship (QSAR), peptide synthesis, labeling of peptides and proteins with fluorescent labels, DNA-microarray, zebrafish model for drug screening, and other analytical screening and biological assays that are routinely used during the drug discovery process. Written in the highly successful Methods in Molecular Biology (TM) series format, chapters include introductions to their respective topics, lists of the necessary materials, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Thorough and accessible, Drug Design and Discovery: Methods and Protocols serve as a vital laboratory reference for pharmaceutical chemists, medicinal chemists, and pharmacologists as well as for molecular biologists.

The purpose of the Mental Health Practice in a Digital World: A Clinicians Guide book is to prepare clinicians to understand, critically evaluate, and embrace well-designed and validated technologies that have the potential of transforming the access, affordability, and accountability of mental healthcare. The reader will become aware of the practical applications of technology in mental health as well as research supporting information technology tools, policy debates. Each chapter contains either examples or scenarios that are relevant to the current practice of mental health care. Policy makers, application developers, scientists, and executives that have lead or supported the use of technologies in real world practice are chapter authors. The goal for this book is to be the key resource for current and future mental health clinicians in the U.S. and around the world to become familiar with technology innovations and how they impact and improve clinical practice.

The Systems Biology of Parkinson s Disease will be underpinned by new measurement techniques. This is particularly true of the pathology of Parkinson's Disease, where recent developments in brain imaging have offered new insights into the morphology of dopaminergic neurons that have profound implications for the special vulnerability and role of this class of neurons.

This installment in the Techniques in Life Science and Biomedicine for the Non-Expert series aims to describe ESR spectroscopy as a tool for different applications, such as Healthcare & Pharmaceutical Science, Paleontology & Geochronology and Food Science. In keeping with the series theme, this text is presented in such a manner that the amateur researcher or graduate student can absorb it, while highlighting recent advances and applications of the field. Chapters include solved examples and questions to reinforce themes and encourage readers to apply what they've learnt.

Navigating research careers is often highly challenging for early career researchers (ECRs) in the social sciences. The ability to thrive in research careers is complex and requires "soft" people and management skills and resilience that often cannot be formally taught through university coursework. Written from a peer perspective, this book provides guidance and establishes emotional rapport on topical issues relevant for ECRs in academia and industry. The authors are ECRs who have been successful in navigating their careers, and they seek to connect with readers in a supportive and collegial manner. Each chapter includes elements of story-telling and scientific thinking and is organized into three parts: (1) a personal story that is relevant to the topic; (2) key content on professional and personal effectiveness based on evidence in the psychological, sociological, and/or management sciences; and (3) action points and practical recommendations. The topics covered are specifically curated for people considering undertaking research careers or already working in research, including: Work Hard, Snore Hard: Recovery from Work for Early Career Researchers Networking and Collaborating in Academia: Increasing Your Scientific Impact and Having Fun in the Process Accelerating Your Research Career with Open Science Engaging with the Press and Media Make Your Science Go Viral: How to Maximize the Impact of Your Research Exploring the Horizon: Navigating Research Careers Outside of Academia Thinking like an Implementation Scientist and Applying Your Research in Practice Survival Guide for Early Career Researchers summarizes relevant evidence-based research to offer advice in strategic but also supportive ways to ECRs. It is an essential go-to practical resource for PhD students, postdoctoral fellows, and junior faculty. This book will also benefit senior researchers who are serving as mentors or delivering professional development programs, administrators and educators in institutions of higher learning, and anyone with an interest in building a successful research career.

Mathematical and Statistical Estimation Approaches in Epidemiology compiles t- oretical and practical contributions of experts in the analysis of infectious disease epidemics in a single volume. Recent collections have focused in the analyses and simulation of deterministic and stochastic models whose aim is to identify and rank epidemiological and social mechanisms responsible for disease transmission. The contributions in this volume focus on the connections between models and disease data with emphasis on the application of mathematical and statistical approaches that quantify model and data uncertainty. The book is aimed at public health experts, applied mathematicians and sci- tists in the life and social sciences, particularly graduate or advanced undergraduate students, who are interested not only in building and connecting models to data but also in applying and developing methods that quantify uncertainty in the context of infectious diseases. Chowell and Brauer open this volume with an overview of the classical disease transmission models of Kermack-McKendrick including extensions that account for increased levels of epidemiological heterogeneity. Their theoretical tour is followed by the introduction of a simple methodology for the estimation of, the basic reproduction number,R . The use of this methodology 0 is illustrated, using regional data for 1918-1919 and 1968 in uenza pandemics.

Today, nature is used as a source of inspiration for the development of new techniques for solving complex problems in various domains, from engineering to biology, with innovative adaptations under investigation. ""The Handbook of Research on Artificial Immune Systems and Natural Computing: Applying Complex Adaptive Technologies"" provides the latest empirical research findings, theoretical frameworks, and technologies of natural computing and artificial immune systems (AIS). An excellent reference source for professionals, researchers, and academicians within the AIS and natural computing fields, this comprehensive collection written by leading international experts proposes new ideas, methods, and theories to solve problems of engineering and science. It features: 24 authoritative contributions by over 45 of the world's leading experts on artificial immune systems and natural computing from 13 countries; comprehensive coverage of each specific topic, highlighting recent trends and describing the latest advances in the field; more than 900 references to existing literature and research on artificial immune systems and natural computing; and, a compendium of over 195 key terms with detailed definitions. It is organized by topic and indexed, making it a convenient method of reference for all IT/IS scholars and professionals. It offers cross-referencing of key terms, figures, and information pertinent to artificial immune systems and natural computing.

This book will review work from a number of researchers who have produced open source software addressing the need for data management, integration, analysis, and visualization to aid cancer research. With the advent of high-throughput technologies in biomedicine, the need for data management and appropriate data analysis tools in genomics has increased dramatically, joining clinical trials data as a major driver of informatics at cancer research centers.

The gathering of this data requires careful encoding of metadata, usually through the use of controlled vocabularies or ontologies, as well as the linking of data from model organisms, done at both a physiological level (e.g., anatomy) and at a molecular level (e.g., orthology). This data will then find use within computational and statistical models, which require data pipelines and analysis systems, as well as algorithms, visualization methods, and computational modeling systems. We will introduce open source tools available for these aspects of the problem.

The editors plan to divide the book into five sections, beginning with a section containing high level overviews of the field and key issues. This will include an introductory review of informatics in cancer research, followed by five overviews addressing issues in authentication and authorization, data management, data pipelines and annotations, algorithms and models, and the NCI caBIG initiative. This will be followed by sections dedicated to data systems, data pipelines, algorithms for analysis and visualization, and modeling systems. Each of these areas has seen publication of open source tools, ranging from the widely known R/Bioconductor package to little known but powerful systems such as SImmune for biochemical modeling. The area of laboratory information management systems has seen development of a number of unpublished but powerful systems, which we would also include. Three groups have agreed to provide chapters in this area (USC/Norris CAFE extensible clinical trials system, St Jude Unified LIMS, Fox Chase/British Columbia flow cytometry LIMS).

While there has been a great deal of development of informatics tools that can be applied to problems in cancer research, there has not been adequate dissemination of details on these tools to the community. As such, there remains low adoption of all but a few tools. This book aims to increase overall adoption of tools by providing cancer center leaders and researchers with a single volume detailing both issues that must be addressed and tools that are ready for use.

This volume details experimental protocols to study structure and function of hepatocytes in vivo and in vitro, and for characterizing heterogeneity and plasticity of hepatocytes in healthy and in injured liver. Chapters guide readers through separating hepatocyte subfractions, characterizing the heterogeneity, novel culture systems, hepatocyte-like cells from human pluripotent stem cells, analyzing drug metabolism, monitoring protein sorting, manipulating gene expression, and methods for expanding primary hepatoblastoma and identifying hepatocellular carcinoma subtypes. Written in the format of the highly successful Methods in Molecular Biology series, each chapter includes an introduction to the topic, lists necessary materials and reagents, includes tips on troubleshooting and known pitfalls, and step-by-step, readily reproducible protocols. Authoritative and cutting-edge, Hepatocytes: Methods and Protocols aims to provide techniques to further understand molecular mechanisms involved in the regulating hepatocyte functions and underlying liver diseases.

This book fills the need for a simplified text covering western blotting protocols aimed not just at high school and college students, but the researcher with little to no experience in these techniques. It provides the principles, basic methodology, and tips and tricks to avoiding the common pitfalls of western blotting. The book also introduces simple protocols that can transform western blotting into a fun method, such as sending secret messages on membranes or using nitrocellulose membrane as a canvas for art. In addition to the techniques, this book also covers the history of western blotting, which originated from the development of the blotting of DNA. It then delves into the importance of protein blotting, brought to the fore by the fact that the procedure has been evolving constantly since its inception in 1979, and the fact that the scientific community is faced with a multitude of ways and means of transferring proteins to membranes..

3D Bioprinting and Nanotechnology in Tissue Engineering and Regenerative Medicine, Second Edition provides an in-depth introduction to bioprinting and nanotechnology and their industrial applications. Sections cover 4D Printing Smart Multi-responsive Structure, Cells for Bioprinting, 4D Printing Biomaterials, 3D/4D printing functional biomedical devices, 3D Printing for Cardiac and Heart Regeneration, Integrating 3D printing with Ultrasound for Musculoskeletal Regeneration, 3D Printing for Liver Regeneration, 3D Printing for Cancer Studies, 4D Printing Soft Bio-robots, Clinical Translation and Future Directions. The book's team of expert contributors have pooled their expertise in order to provide a summary of the suitability, sustainability and limitations of each technique for each specific application. The increasing availability and decreasing costs of nanotechnologies and 3D printing technologies are driving their use to meet medical needs. This book provides an overview of these technologies and their integration.

This volume details the history of Retinitis Pigmentosa and current treatment options. Chapters guide readers through CRISPR, gene therapy, stem cell therapy, next-generation sequencing methods, gene editing, and translational applications of other therapies to the treatment of Retinitis Pigmentosa. Written in the 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 protocols, and notes on troubleshooting and avoiding known pitfalls. Authoritative and cutting-edge, Retinitis Pigmentosa aims to be a useful practical guide to researches to help further their study in this field.

Micro/Nano-robotics for Biomedical Applications features a system approach and incorporates modern methodologies in autonomous mobile robots for programmable and controllable micro/nano-robots aiming at biomedical applications. The book provides chapters of instructional materials in micro/nanorobotics for biomedical applications. The book features lecture units on micro/nanorobot components and techniques, including sensors, actuator, power supply, and micro/nano-fabrication and assembly. It also contains case studies on using micro/nano-robots in biomedical environments and in biomedicine, as well as a design example to conceptually develop a Vitamin-pill sized robot to enter human s gastrointestinal tract. Laboratory modules to teach robot navigation and cooperation methods suitable to biomedical applications will be also provided based on existing simulation and robot platforms."

This book focuses on various aspects of computer vision applications in the field of healthcare. It covers new tools and technologies in some of the important areas of medical science like histopathological image analysis, cancer taxonomy, use of deep learning architecture dental care, and many more. Furthermore, this book reviews and discusses the use of intelligent learning-based algorithms for increasing the precision in medical domain. The book discusses different computer vision algorithms which are useful in various industries and day-to-day life. It also highlights many challenges faced by research community, like view point variations, scale variations, illumination variations, multi-modalities, and noise.

Cognitive and Soft Computing Techniques for the Analysis of Healthcare Data discusses the insight of data processing applications in various domains through soft computing techniques and enormous advancements in the field. The book focuses on the cross-disciplinary mechanisms and ground-breaking research ideas on novel techniques and data processing approaches in handling structured and unstructured healthcare data. It also gives insight into various information-processing models and many memories associated with it while processing the information for forecasting future trends and decision making. This book is an excellent resource for researchers and professionals who work in the Healthcare Industry, Data Science, and Machine learning.

This book provides an innovative international forum for the researchers, developers, and practitioners who are actively expanding the role of electronic technologies in healthcare. The contributions are by pioneers in all aspects of the field: telemedicine, simulation, computer-assisted surgery, haptics, robotics, education, diagnostics, etc. Leading edge developments and current clinical experience are brought together for the purpose of exploring ways to improve medical care. Mental health implications of new electronic technologies are also discussed. This book has a special focus on virtual reality as a means of bringing practitioner and patient closer in the pursuit of healing. Rather than superseding the talents of healthcare professionals, interactive computer-based tools have the ability to enhance the traditional dialogue of care. In addition, these tools can be used to integrate useful qualities of complementary therapies into allopathic medicine. Sight, touch, sound and other senses can be linked and augmented in ways previously unimagined, ultimately to benefit the patient.

This book is part of a series dedicated to recent advances on preventive, predictive and personalised medicine (PPPM). It focuses on the theme of "Drug delivery systems: advanced technologies potentially applicable in personalised treatments". The critical topics involving the development and preparation of effective drug delivery systems, such as: polymers available, self-assembly, nanotechnology, pharmaceutical formulations, three dimensional structures, molecular modeling, tailor-made solutions and technological tendencies, are carefully discussed. The understanding of these areas constitutes a paramount route to establish personalised and effective solutions for specific diseases and individuals.

Anomaly Detection and Complex Event Processing over IoT Data Streams: With Application to eHealth and Patient Data Monitoring presents advanced processing techniques for IoT data streams and the anomaly detection algorithms over them. The book brings new advances and generalized techniques for processing IoT data streams, semantic data enrichment with contextual information at Edge, Fog and Cloud as well as complex event processing in IoT applications. The book comprises fundamental models, concepts and algorithms, architectures and technological solutions as well as their application to eHealth. Case studies, such as the bio-metric signals stream processing are presented -the massive amount of raw ECG signals from the sensors are processed dynamically across the data pipeline and classified with modern machine learning approaches including the Hierarchical Temporal Memory and Deep Learning algorithms. The book discusses adaptive solutions to IoT stream processing that can be extended to different use cases from different fields of eHealth, to enable a complex analysis of patient data in a historical, predictive and even prescriptive application scenarios. The book ends with a discussion on ethics, emerging research trends, issues and challenges of IoT data stream processing.

Artificial Intelligence for Healthcare Applications and Management introduces application domains of various AI algorithms across healthcare management. Instead of discussing AI first and then exploring its applications in healthcare afterward, the authors attack the problems in context directly, in order to accelerate the path of an interested reader toward building industrial-strength healthcare applications. Readers will be introduced to a wide spectrum of AI applications supporting all stages of patient flow in a healthcare facility. The authors explain how AI supports patients throughout a healthcare facility, including diagnosis and treatment recommendations needed to get patients from the point of admission to the point of discharge while maintaining quality, patient safety, and patient/provider satisfaction. AI methods are expected to decrease the burden on physicians, improve the quality of patient care, and decrease overall treatment costs. Current conditions affected by COVID-19 pose new challenges for healthcare management and learning how to apply AI will be important for a broad spectrum of students and mature professionals working in medical informatics. This book focuses on predictive analytics, health text processing, data aggregation, management of patients, and other fields which have all turned out to be bottlenecks for the efficient management of coronavirus patients.

Tamoxifen Tales: Suggestions for Scientific Survival presents a case study describing the academic journey of teams behind major advances in medical sciences, highlighting lessons learned that are applicable to the next generation of scientists. This book provides a manual on the successful mentoring of young scientists, including stories describing how training experience shaped careers to become leaders in academia and the pharmaceutical industry. The book documents Professor V. Craig Jordan's 50-year career in medical sciences that led to the discovery and development of Selective Estrogen Receptor Modulators (SERMs), which became the standard of women's healthcare around the world. Additionally, it illustrates the versatility of a scientist with a commitment to serving societies. This important resource will be a useful and interesting book for established medical scientists, research mentors and advanced students wanting to chart a successful and impactful research career.

Reviews in Fluorescence 2015, the eighth volume of the book serial from Springer, serves as a comprehensive collection of current trends and emerging hot topics in the field of fluorescence and closely related disciplines. It summarizes the year's progress in fluorescence and its applications, with authoritative reviews specialized enough to be attractive to professional researchers, yet also appealing to the wider audience of scientists in related disciplines of fluorescence. Reviews in Fluorescence offers an essential reference material for any research lab or company working in the fluorescence field and related areas. All academics, bench scientists, and industry professionals wishing to take advantage of the latest and greatest in the continuously emerging field of fluorescence will find it an invaluable resource.