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Books > Medicine > General issues > Medical equipment & techniques > General
Mechanical Behaviour of Biomaterials focuses on the interface between engineering and medicine, where new insights into engineering aspects will prove to be extremely useful in their relation to the biomedical sciences and their applications. The book's main objective focuses on the mechanical behavior of biomaterials, covering key aspects, such as mechanical properties, characterization and performance. Particular emphasis is given to fatigue, creep and wear, fracture, and stress and strain relationships in biomaterials. Chapters look at both experimental and theoretical results. Readers will find this to be an essential reference for academics, biomechanical researchers, medical doctors, biologists, chemists, physicists, mechanical, biomedical and materials engineers and industrial professionals.
Microbiological matters continue to exercise considerable influence
on product quality. In both the pharmaceutical and medical device
industries, products of greater sophistication, along with evolving
regulatory requirements, are elevating the challenges related to
maintaining microbiological integrity.
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.
For courses in phlebotomy. Most comprehensive phlebotomy guide available Phlebotomy Handbook: Blood Specimen Collection from Basic to Advanced links students and health care professionals to the latest information on safe, effective blood collection. Progressing from simple concepts to complex competencies, the text covers all of the communication, clinical, technical, and safety skills that any health care worker will use in the practice of phlebotomy and other specimen-collection procedures. The 10th edition aligns the text with entry-level competencies of the NAACLS. A DVD video library demonstrating procedures described in this text is available in Pearson's Instructor Resource Center.
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:
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.
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"
This volume explores developments in techniques in diagnostics, DNA sequencing, bioanalysis of immunoassays, and single-molecule detection. It promotes the measurement, identification, monitoring, analysis, and application of near-infrared spectroscopy (NIR) to medical and pharmaceutical advances. The text also considers noninvasive methods of NIR for successful, cost-effective, and prompt diagnoses of diseases.
The updated edition of the first of three volumes on Medical Physics focuses even more on body systems related to physical principles such as body mechanics, energy balance, and action potentials. Thanks to numerous newly incorporated didactic features, the introductory text into the broad fi eld of medical physics is easy to understand and supports self-study. New: highlighted boxes emphasize special topics; math boxes explain more advanced mathematical issues; each chapter concludes with a summary of the key concepts, questions, a self-assessment of the acquired competence, and exercises. The appendix contains answers to questions and solutions to exercises.
The updated edition of the second of three volumes on Medical Physics presents modern physical methods for medical diagnostics. It provides a solid background on imaging techniques that use non-ionizing probes (ultrasound, endoscopy including CLE and OCT, MRI) and imaging techniques that use ionizing radiation (X-ray radiography, CT, SPECT, PET). Radiation sources, interactions of radiation with matter and radiation protection for x-rays, -rays, protons and neutrons are presented. Some of these topics are also relevant to the therapeutic applications presented in Volume 3. NEW: highlighted boxes emphasize specifi c topics; math boxes explain more advanced mathematical issues; each chapter concludes with a summary of the key concepts, questions, a self-assessment of the acquired competence and exercises. The appendix provides answers to questions and solutions to exercises.
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.
"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.
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.
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.
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.
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 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.
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. |
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