Although the use of new health technologies in healthcare and medicine is generally seen as beneficial, there has been little analysis of the impact of such technologies on people's lives and understandings of health and illness. This ground-breaking book explores how new technologies not only provide hope for cure and well-being, but also introduce new ethical dilemmas and raise questions about the 'natural' body. Focusing on the ways new health technologies intervene into our lives and affect our ideas about normalcy, the body and identity, Medical Technologies and the Life World explores: how new health technologies are understood by lay people and patients how the outcomes of these technologies are communicated in various clinical settings how these technologies can alter our notions of health and illness and create 'new illness'. Written by authors with differing backgrounds in phenomenology, social psychology, social anthropology, communication studies and the nursing sciences, this sensational text is essential reading for students and academics of medical sociology, health and allied studies, and anyone with an interest in new health technologies.

Arguably medicine is either an arts-based science or a science-based art. In medieval times, clinical decisions were based on simple measures, such as the temperature of the body, the rhythm of the pulse, the consistency of the stool and the colour of the urine. Nowadays, thanks partly to modern technology, medical science has improved in many ways, as has healthcare. In particular, approaches which have their origins in Artificial Intelligence and Operational Research have a significant contribution to make in terms of improving not only diagnosis and treatment of patients, but also providing ways of managing patients in a more effective, more efficient, and more patient-friendly manner. This book focuses on the use of such Intelligent Patient Management to the benefit of clinicians, other healthcare and community practitioners and managers, patients and carers.

This book defines the phenomenon of mHealth and its evolution, explaining why an understanding of mHealth is critical for decision makers, entrepreneurs and policy analysts who are pivotal to developing products that meet the collaborative health information needs of consumers and providers in a competitive and rapidly-changing environment. The book examines trends in mHealth and discusses how mHealth technologies offer opportunities for innovators and entrepreneurs, those who often are industry first-movers with regard to technology advancement. It also explores the changing dynamics and relationships among physicians, patients, insurers, regulators, managers, administrators, caregivers and others involved in the delivery of health services. The primary focus is on the ways in which mHealth technologies are revising and reshaping healthcare delivery systems in the United States and globally and how those changes are expected to change the ways in which the business of healthcare is conducted. mHealth: Transforming Healthcare consists of nine chapters that addresses key content areas, including history (to the extent that dynamic technologies have a history), projection of immediate evolution and consistent issues associated with health technology, such as security and information privacy and government and industry regulation. A major point of discussion addressed is whether mHealth is a transient group of products and a passing patient encounter approach, or if it is the way much of our health care will be delivered in future years with incremental evolution to achieve sustainable innovation of health technologies.

Cutting through unnecessary technical data, this invaluable book presents comprehensive facts and figures relating to the many materials available for use in medical devices. Chapters in Part One address types of materials and also discuss biocompatibility, as well as batteries and fibre optics, while Part Two concentrates on design and manufacturing methods, including information on prototyping, sterilisation, standards and quality control. The penultimate part of the book speculates on future development trends in medical device engineering and considers the impact on the environment of medical device manufacture and disposal. Information on sourcing is provided in the final part. Design Engineering of Biomaterials for Medical Devices discusses the fundamentals and applied nature of:

• Ferrous and non-ferrous metals
• Polymers and PVC
• Non metallic/non-polymer materials
• Adhesives
• Filters and membranes
• Micro-engineering
• Design specifications
• Liability
• Patenting
• Packaging

Although less than a decade old, the field of microarray data analysis is now thriving and growing at a remarkable pace. Biologists, geneticists, and computer scientists as well as statisticians all need an accessible, systematic treatment of the techniques used for analyzing the vast amounts of data generated by large-scale gene expression studies. And there is arguably no group better qualified to do so than the authors of this book.

Statistical Analysis of Gene Expression Microarray Data promises to become the definitive basic reference in the field. Under the editorship of Terry Speed, some of the world's most pre-eminent authorities have joined forces to present the tools, features, and problems associated with the analysis of genetic microarray data. These include::

· Model-based analysis of oligonucleotide arrays, including expression index computation, outlier detection, and standard error applications
· Design and analysis of comparative experiments involving microarrays, with focus on \ two-color cDNA or long oligonucleotide arrays on glass slides
· Classification issues, including the statistical foundations of classification and an overview of different classifiers
· Clustering, partitioning, and hierarchical methods of analysis, including techniques related to principal components and singular value decomposition

Although the technologies used in large-scale, high throughput assays will continue to evolve, statistical analysis will remain a cornerstone of their success and future development. Statistical Analysis of Gene Expression Microarray Data will help you meet the challenges of large, complex datasets and contribute to new methodological and computational advances.

A volume in the new Principles and Applications in Engineering series, Tissue Engineering provides an overview of the major physiologic systems of current interest to biomedical engineers: cardiovascular, endocrine, nervous, visual, auditory, gastrointestinal, and respiratory. It contains useful definitions, tables of basic physiologic data, and an introduction to the literature. Then, the book reviews the status of tissue engineering of specific organs, including bone marrow, skeletal muscle, and cartilage. Readers will acquire a good understanding of the engineering and cell biological fundamentals of tissue engineering and will develop ideas for further development of this emerging and important field.

The book, to the best of the editor's knowledge, is the first text of its kind that presents both the traditional and the modern aspects of 'dialysis modeling and control' in a clear, insightful and highly comprehensive writing style. It provides an in-depth analysis of the mathematical models and algorithms, and demonstrates their applications in real world problems of significant complexity. The material of this book can be useful to advanced undergraduate and graduate biomedical engineering students. This text provides an important focus on helping students understand how new concepts are related to and rely upon concepts previously presented. Also, researchers and practitioners in the field of dialysis, control systems, soft computing may benefit from it. The material is organized into 32 chapters. This book explains concepts in a clear, matter-of-fact style. In order to make the reader aware of the applied side of the subject, the book includes: Chapter openers with a chapter outline, chapter objectives, key terms list, and abstract. Solved numerical examples to illustrate the application of a particular concept, and also to encourage good problem-solving skills. More than 1000 questions to give the readers a better insight to the subject. Case studies to understand the significance of the joint usage of the dialysis modeling and control techniques in interesting problems of the real world. Summation and deepening of authors' works in recent years in the fields related. So the readers can get latest information, including latest research surveys and references related to the subjects through this book. It is hoped that through this book the reader will: Understand the fundamentals of dialysis systems and recognize when it is advantageous to use them. Gain an understanding of the wide range of dialysis modeling techniques Be able to use soft computing techniques in dialysis applications. Gain familiarity with online systems of dialysis and their applications. Recognize the relationship between conceptual understanding and problem-solving approaches. The editors would like to take this opportunity to thank all the authors for their contributions to this textbook. Without the hard work of our contributors, this book would have not been possible. The encouragement and patience of series Editor, Thomas Ditzinger is very much appreciated. Without his continuous help and assistance during the entire course of this project, the production of the book would have taken a great deal longer.

The mechanical properties of cells can be used to distinguish pathological from normal cells and tissues in many diseases. This book will outline the physics behind cell and tissue mechanics, describe the methods which can be used to determine their mechanical properties, and present various diseases in which a mechanical fingerprint could be established. The book is designed to not require a background in either Physics or Life Sciences.

This book is the first text of its kind that presents both the traditional and the modern aspects of dialysis modeling and control in a clear, insightful and highly comprehensive writing style. It provides an in-depth analysis of the mathematical models and algorithms, and demonstrates their applications in real world problems of significant complexity. It explains concepts in a clear, matter-of-fact style. The material of this book will be useful to advanced undergraduate and graduate biomedical engineering students. Also, researchers and practitioners in the field of dialysis, control systems, soft computing will benefit from it.

In order to make the reader aware of the applied side of the subject, the book includes:

Chapter openers with a chapter outline, chapter objectives, key terms list, and abstract.

Solved numerical examples to illustrate the application of a particular concept, and also to encourage good problem-solving skills.

More than 1000 questions to give the readers a better insight to the subject.

Case studies to understand the significance of the joint usage of the dialysis modeling and control techniques in interesting problems of the real world.

latest information, including latest research surveys and references related to the subjects"

By 2030, diabetes will be the 7th leading cause of premature mortality worldwide, according to the World Health Organisation. The application of nanotechnology in medicine holds many possible advantages and over the past few decades, there has been huge progress in its utilisation. Nanotechnology is widely applied for cancer treatment and other diseases but, the use of it for diabetes treatment is now starting to flourish. This book presents the latest developments of nanomedicine for the treatment of different facets of diabetes and related disorders. With a multidisciplinary approach, chapters focus on previously overlooked topics in glucose sensing, insulin delivery and secretion, bioimaging and transplantation of islets. This book is suitable for researchers of nanomedicine, nanotechnology and diabetes looking into the emergence of new approaches for the treatment of this life-threatening disease.

Agile Implementation describes the underlying theories and frameworks that explain health delivery systems and lays out the 8 steps of the Agile Implementation Model founded by Malaz Boustani, MD, MPH and Jose Azar, MD. In today's complex healthcare environment, implementing evidence-based care into real-world practices is difficult and time consuming. Even methods that are known to be effective allow for limited flexibility and therefore fail as often as they succeed. Through much study and experimentation, Malaz Boustani, MD, MPH, Jose Azar, MD, and Craig A. Solid, PhD have come to understand how individuals' interactions within the complex social systems of hospitals, clinics, and other care delivery organizations shape the decisions and behaviors of those involved. Upon this foundation and through leveraging theories of behavioral economics, we have developed the Agile Implementation Model, a process for selecting, adapting, implementing, evaluating, sustaining, and scaling evidence-based healthcare interventions. This model acknowledges the uniqueness of each individual facility and considers individuals within the system to be semiautonomous but interconnected. In tandem with illustrative examples, Agile Implementation describes the underlying theories and frameworks that explain health delivery systems and lays out the 8 steps of the Agile Implementation Model. Upon completing Agile Implementation, readers have a better understanding of why certain quality initiatives succeed while others fail and have tangible, actionable tools for implementing effective and sustainable change in the healthcare setting.

This book is an edited volume, the goal of which is to provide an overview of the current state-of-the-art in statistical methods applied to problems in structural bioinformatics (and in particular protein structure prediction, simulation, experimental structure determination and analysis). It focuses on statistical methods that have a clear interpretation in the framework of statistical physics, rather than ad hoc, black box methods based on neural networks or support vector machines. In addition, the emphasis is on methods that deal with biomolecular structure in atomic detail. The book is highly accessible, and only assumes background knowledge on protein structure, with a minimum of mathematical knowledge. Therefore, the book includes introductory chapters that contain a solid introduction to key topics such as Bayesian statistics and concepts in machine learning and statistical physics.

This volume focuses on understanding the impact of age-related decline in cognitive abilities on medical decisions and compliance with medical instructions. It examines how medical information and the medical environment can be restructured to accommodate the decreased cognitive function associated with aging. Although the issues discussed in this book are of critical importance in providing effective health care, they have been largely neglected in the national debate over provision of health care for the increasingly aging population. It is essential that we begin to understand how to present information so that informed choices are made and patients comprehend well enough that they can follow their treatment regimens and understand the importance of those regimens.
Divided into four major sections, this volume addresses the following issues:
* the implications of cognitive aging for medical information processing;
* aging and medical decision making;
* aging and medication adherence; and
* human factors design for medical devices and instructions.

"Whole System Working" is an approach that enables people to find sustainable solutions to local problems. It is also a theoretical approach to organizational development that views groups of people who share a common purpose as a "living system". Based on King's Fund work over four years with health agencies and their local partners in housing, local government, the independent sector, transport, and local people, this book describes the founding principles which characterize the approach, gives examples of its application in practice, and answers common questions.

Healthcare has recently seen numerous exciting applications of artificial intelligence, industrial engineering, and operations research. This book, designed to be accessible to a diverse audience, provides an overview of interdisciplinary research partnerships that leverage AI, IE, and OR to tackle societal and operational problems in healthcare. The topics are drawn from a wide variety of disciplines, ranging from optimizing the location of AEDs for cardiac arrests to data mining for facilitating patient flow through a hospital. These applications highlight how engineering has contributed to medical knowledge, health system operations, and behavioral health. Chapter authors include medical doctors, policy-makers, social scientists, and engineers. Each chapter begins with a summary of the health care problem and engineering method. In these examples, researchers in public health, medicine, and social science as well as engineers will find a path to start interdisciplinary collaborations in health applications of AI/IE/OR.

Pervasive healthcare is an emerging discipline concerning the application of wireless, mobile, and intelligent technologies to certain healthcare issues. Such issues within healthcare systems include the increased incidence of lifestyle-related diseases and chronic illnesses, the need to educate individuals on the management of their own health, the rise of consumerism in healthcare, and also the need to provide direct access to healthcare services, irrespective of time and place. Pervasive and Smart Technologies for Healthcare: Ubiquitous Methodologies and Tools provides insight from members of prestigious universities and research institutes around the world into possible solutions for the aforementioned pressures within today's healthcare systems. Pervasive healthcare technologies are creating a new market for higher quality and less expensive healthcare applications, making this book ideal for ICT community members willing to design and develop advanced pervasive healthcare applications, and healthcare practitioners wanting to reorganize business processes within a healthcare system so that patients are diagnosed and treated more quickly and effectively.

In developing the electronic nose and biosensor devices, researchers not only copy biochemical pathways, but also use nature's approach to signal interpretation as a blueprint for man-made sensing systems. Commercial biosensors have demonstrated their benefits and practical applications, providing high sensitivity and selectivity, combined with a significant reduction in sample preparation assay time and the use of expensive reagents. The Handbook of Biosensors and Electronic Noses discusses design and optimization for the multitude of practical uses of these devices including:

The rapidly evolving field of protein science has now come to realize the ubiquity and importance of protein-protein interactions. It had been known for some time that proteins may interact with each other to form functional complexes, but it was thought to be the property of only a handful of key proteins. However, with the advent of high throughput proteomics to monitor protein-protein interactions at an organism level, we can now safely state that protein-protein interactions are the norm and not the exception. Thus, protein function must be understood in the larger context of the various binding complexes that each protein may form with interacting partners at a given time in the life cycle of a cell. Proteins are now seen as forming sophisticated interaction networks subject to remarkable regulation. The study of these interaction networks and regulatory mechanism, which I would like to term "systems proteomics," is one of the thriving fields of proteomics.

The bird-eye view that systems proteomics offers should not however mask the fact that proteins are each characterized by a unique set of physical and chemical properties. In other words, no protein looks and behaves like another. This complicates enormously the design of high-throughput proteomics methods. Unlike genes, which, by and large, display similar physico-chemical behaviors and thus can be easily used in a high throughput mode, proteins are not easily amenable to the same treatment. It is thus important to remind researchers active in the proteomics field the fundamental basis of protein chemistry. This book attempts to bridge the two extreme ends of protein science: on one end, systems proteomics, whichdescribes, at a system level, the intricate connection network that proteins form in a cell, and on the other end, protein chemistry and biophysics, which describe the molecular properties of individual proteins and the structural and thermodynamic basis of their interactions within the network.

Bridging the two ends of the spectrum is bioinformatics and computational chemistry. Large data sets created by systems proteomics need to be mined for meaningful information, methods need to be designed and implemented to improve experimental designs, extract signal over noise, and reject artifacts, and predictive methods need to be worked out and put to the test. Computational chemistry faces similar challenges. The prediction of binding thermodynamics of protein-protein interaction is still in its infancy. Proteins are large objects, and simplifying assumptions and shortcuts still need to be applied to make simulations manageable, and this despite exponential progress in computer technology.

Finally, the study of proteins impacts directly on human health. It is an obvious statement to say that, for decades, enzymes, receptors, and key regulator proteins have been targeted for drug discovery. However, a recent and exciting development is the exploitation of our knowledge of protein-protein interaction for the design of new pharmaceuticals. This presents particular challenges because protein-protein interfaces are generally shallow and interactions are weak. However, progress is clearly being made and the book seeks to provide examples of successes in this area.

Healthcare is noted for using leading-edge technologies and embracing new scientific discoveries to enable better cures for diseases and better means to enable early detection of most life-threatening diseases. However, the healthcare industry globally, and in the US specifically, has been extremely slow to adopt technologies that focus on better practice management and administrative needs. Presently, healthcare is grappling with many challenges both nationally and globally, including escalating costs, a move to a preventative care environment, and a technologically savvy patient with high expectations. The Handbook of Research on Optimizing Healthcare Management Techniques is a pivotal reference source that provides an extensive and rich compilation of various ICT initiatives and examines the role that ICT plays and will play in the future of healthcare delivery. It represents ways in which healthcare delivery can be made superior and the healthcare industry can begin to address the major challenges it faces in the 21st century so that ultimately the most important person in the web of healthcare players, the patient, can be confident about receiving high-quality, cost-effective healthcare. While highlighting topics such as e-health, medical informatics, and patient value, this publication explores the role of supportive technologies as well as the methods of focused, patient-centric outcomes. This book is ideally designed for doctors, nurses, hospital administrators, medical staff, hospital directors, medical boards, IT consultants, health practitioners, academicians, researchers, and students.

e-Health Systems: Theory, Advances and Technical Applications offers a global vision of all the parties involved with e-health system deployment and its operation process, presenting the state of the art in major trends for improving healthcare quality and efficiency of healthcare management. The authors focus on ICT technologies and solutions for health management and healthcare applications, specifically emerging ICT to help reduce costs and improve healthcare quality, and healthcare trends in consumer empowerment and information-rich "Smart Care", with ubiquitous care access from anywhere, at any time, by any authorized person(s) when needed. Split into two parts, this book provides a comprehensive introduction to the concepts of e-health and delves into the processes carried out to store information, as well as the standards that are used; the authors explore applications and implementation of e-health systems, explaining in depth the types of wireless networks and security protocols employed to convert these systems into robust solutions avoiding any kind of data corruption and vulnerabilities.

Data management and analysis is one of the fastest growing and most challenging areas of research and development in both academia and industry. Numerous types of applications and services have been studied and re-examined in this field resulting in this edited volume which includes chapters on effective approaches for dealing with the inherent complexity within data management and analysis. This edited volume contains practical case studies, and will appeal to students, researchers and professionals working in data management and analysis in the business, education, healthcare, and bioinformatics areas.

This book focuses on the materials, synthetic methods, tools and techniques being developed in the nanoregime towards the life sciences -- in particular biology, biotechnology and medicine.
Readers from materials science, engineering, chemistry, biology and medical backgrounds will find detailed accounts of the design and synthesis of nanomaterials and the tools and techniques involved in their production for applications in biology, biotechnology and medicine.

Leading researchers have contributed state-of-the-art chapters to this overview of high-performance computing in biomedical research. The book includes over 30 pages of color illustrations. Some of the important topics featured in the book include the following:

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.