Chitosan in Biomedical Applications provides a thorough insight into the complete chitosan chemistry, collection, chemical modifications, characterization and applications of chitosan in biomedical applications and healthcare fields. Chitosan, a biopolymer of natural origin, has been explored for its variety of applications in biomedical research, medical diagnostic aids and material science. It is the second most abundant natural biopolymer after cellulose, and considered as an excellent excipient because of its non-toxic, stable, biodegradable properties. Several research innovations have been made on applications of chitosan in biomedical applications. The book explores key topics, such as molecular weight, degree of deacetylation, and molecular geometry, along with an emphasis on recent advances in the field written by academic, industry, and clinical researchers. Chitosan in Biomedical Applications will be of interest to those in biomedical fields including the biomaterials and tissue engineering community investigating and developing biomaterials for biomedical applications, particularly graduate students, young faculty and others exploring chitosan-based materials.

Technology continues to play a major role in all aspects of society, particularly healthcare. Advancements such as biomedical image processing, technology in rehabilitation, and biomedical robotics for healthcare have aided in significant strides in the biomedical engineering research field.Technological Advancements in Biomedicine for Healthcare Applications presents an overview of biomedical technologies and its relationship with healthcare applications. This reference source is essential for researchers and practitioners aiming to learn more about biomedical engineering and its related fields.

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"

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.

Technological tools and computational techniques have enhanced the healthcare industry. These advancements have led to significant progress and novel opportunities for biomedical engineering. Nature-Inspired Intelligent Techniques for Solving Biomedical Engineering Problems is a pivotal reference source for emerging scholarly research on trends and techniques in the utilization of nature-inspired approaches in biomedical engineering. Featuring extensive coverage on relevant areas such as artificial intelligence, clinical decision support systems, and swarm intelligence, this publication is an ideal resource for medical practitioners, professionals, students, engineers, and researchers interested in the latest developments in biomedical technologies.

Nanoparticle therapeutics: Production Technologies, Types of Nanoparticles, and Regulatory Aspects employs unique principles for applications in cell-based therapeutics, diagnostics and mechanistics for the study of organ physiology, disease etiology and drug screening of advanced nanoparticles and nanomaterials. The book focuses on the extrapolation of bioengineering tools in the domain of nanotechnology and nanoparticles therapeutics, fabrication, characterization and drug delivery aspects. It acquaints scientists and researchers on the experiential and experimental aspects of nanoparticles and nanotechnology to equip their rational application in various fields, especially in differential diagnoses and in the treatment of diverse diseased states. This complete resource provides a holistic understanding of the principle behind formation, characterization, applications, regulations and toxicity of nanoparticles employing myriad principles of nanotechnology. Investigators, pharmaceutical researchers, and advanced students working on technology advancement in the areas of designing targeted therapies, nanoscale imaging systems and diagnostic modalities in human diseases where nanoparticles can be used as a critical tool for technology advancement in drug delivery systems will find this book useful.

IoT-enabled healthcare technologies can be used for remote health monitoring, rehabilitation assessment and assisted ambient living. Healthcare analytics can be applied to the data gathered from these different areas to improve healthcare outcomes by providing clinicians with real-world, real-time data so they can more easily support and advise their patients. The book explores the application of AI systems to analyse patient data and guide interventions. IoT-based monitoring systems and their security challenges are also discussed. The book is designed to be a reference for healthcare informatics researchers, developers, practitioners, and people who are interested in the personalised healthcare sector. The book will be a valuable reference tool for those who identify and develop methodologies, frameworks, tools, and applications for working with medical big data and researchers in computer engineering, healthcare electronics, device design and related fields.

This book introduces various 3D printing systems, biomaterials, and cells for organ printing. In view of the latest applications of several 3D printing systems, their advantages and disadvantages are also discussed. A basic understanding of the entire spectrum of organ printing provides pragmatic insight into the mechanisms, methods, and applications of this discipline. Organ printing is being applied in the tissue engineering field with the purpose of developing tissue/organ constructs for the regeneration of both hard (bone, cartilage, osteochondral) and soft tissues (heart). There are other potential application areas including tissue/organ models, disease/cancer models, and models for physiology and pathology, where in vitro 3D multicellular structures developed by organ printing are valuable.

This edited book explores the use of mobile technologies such as phones, drones, robots, apps, and wearable monitoring devices for improving access to healthcare for socially disadvantaged populations in remote, rural or developing regions. This book brings together examples of large scale, international projects from developing regions of China and Belt and Road countries from researchers in Australia, Bangladesh, Denmark, Norway, Japan, Spain, Thailand and China. The chapters discuss the challenges presented to those seeking to deploy emerging mobile technologies (e.g., smartphones, IoT, drones, robots etc.) for healthcare (mHealth) in developing countries and discuss the solutions undertaken in these case study projects. This book brings together joint work in mHealth projects across multiple disciplines (software, healthcare, mobile communications, entrepreneurship and business and social development). Bringing together research from different institutions and disciplines, the editors illustrate the technical and entrepreneurial aspects of using mobile technologies for healthcare development in remote regions. Chapters are grouped into five key themes: the global challenge, portable health clinics, sustainable and resilient mHealth services, mHealth for the elderly, and mHealth for chronic illnesses. The book will be of particular interest to engineers, entrepreneurs, NGOs and researchers working in healthcare in sustainable development settings.

Breaches and identity theft involving medical data are on the rise. Data security has become especially critical to the healthcare industry as patient privacy hinges on legal compliance and secure adoption of electronic health records. As cyber criminals see medical data as an easy way to illegally obtain medical goods and services or sell sensitive information, major security flaws can pose serious threats to the health and safety of patients. The Handbook of Research on Medical Data Security for Bioengineers seeks to provide a cross-disciplinary forum on research in privacy preserving healthcare systems and engineering applications in medical data security. The goal of the book is to instigate discussion on these critical issues since the success of electronic healthcare applications depends directly on patient security and privacy for ethical and legal reasons. While highlighting topics including data privacy, encryption strategies, and smart health, this book is ideally designed for IT experts, computer engineers, biomedical engineer practitioners, professionals, researchers, and post-doctoral and graduate students.

Methods for detecting protein-protein interactions (PPIs) have given researchers a global picture of protein interactions on a genomic scale. ""Biological Data Mining in Protein Interaction Networks"" explains bioinformatic methods for predicting PPIs, as well as data mining methods to mine or analyze various protein interaction networks. A defining body of research within the field, this book discovers underlying interaction mechanisms by studying intra-molecular features that form the common denominator of various PPIs.

Nanotechnology for Oral Drug Delivery: From Concept to Applications discusses the current challenges of oral drug delivery, broadly revising the different physicochemical barriers faced by nanotechnolgy-based oral drug delivery systems, and highlighting the challenges of improving intestinal permeability and drug absorption. Oral delivery is the most widely used form of drug administration due to ease of ingestion, cost effectiveness, and versatility, by allowing for the accommodation of different types of drugs, having the highest patient compliance. In this book, a comprehensive overview of the most promising and up-to-date engineered and surface functionalized drug carrier systems, as well as opportunities for the development of novel and robust delivery platforms for oral drug administration are discussed. The relevance of controlling the physicochemical properties of the developed particle formulations, from size and shape to drug release profile are broadly reviewed. Advances in both in vitro and in vivo scenarios are discussed, focusing on the possibilities to study the biological-material interface. The industrial perspective on the production of nanotechnology-based oral drug delivery systems is also covered. Nanotechnology for Oral Drug Delivery: From Concept to Applications is essential reading for researchers, professors, advanced students and industry professionals working in the development, manufacturing and/or commercialization of nanotechnology-based systems for oral drug delivery, targeted drug delivery, controlled drug release, materials science and biomaterials, in vitro and in vivo testing of potential oral drug delivery technologies.

Portable Biosensors and Point-of-Care Systems describes the principles, design and applications of a new generation of analytical and diagnostic biomedical devices, characterized by their very small size, ease of use, multi-analytical capabilities and speed to provide handheld and mobile point-of-care (POC) diagnostics. The book is divided in four Parts. Part I is an in-depth analysis of the various technologies upon which portable diagnostic devices and biosensors are built. In Part II, advances in the design and optimization of special components of biosensor systems and handheld devices are presented. In Part III, a wide scope of applications of portable biosensors and handheld POC devices is described, ranging from the support of primary healthcare to food and environmental safety screening. Diverse topics are covered, including counterterrorism, travel medicine and drug development. Finally, Part IV of the book is dedicated to the presentation of commercially available products including a review of the products of point-of-care in-vitro-diagnostics companies, a review of technologies which have achieved a high Technology Readiness Level, and a special market case study of POC infusion systems combined with intelligent patient monitoring. This book is essential reading for researchers and experts in the healthcare diagnostic and analytical sector, and for electronics and material engineers working on portable sensors.

This volume considers the most common materials used in medical devices. State-of-the-art reference information is given for implant materials including stainless steels, cobalt-base alloys, titanium, shape memory alloys, noble metals, ceramics, and polymers. Examples of materials- and mechanical-based failures of medical devices provide lessons learned in the failure analysis section. Biotribology and implant wear are covered extensively, including clinical wear and biological aspects of implant wear. A detailed look at corrosion includes its effects, corrosion products, mechanically assisted corrosion and corrosion fatigue. Biocompatibility is also discussed at length including biocompatibility of ceramics and polymers. Engineers with little exposure to medical and biomedical engineering will find this book particularly useful. Volume 23 is a replacement for the Handbook of Materials for Medical Devices edited by J.R. Davis (ASM, 2003). The new volume features brand-new content that greatly expands the scope and depth of coverage, including a more in-depth discussion of materials and focus on applications.

Control Applications for Biomedical Engineering Systems presents different control engineering and modeling applications in the biomedical field. It is intended for senior undergraduate or graduate students in both control engineering and biomedical engineering programs. For control engineering students, it presents the application of various techniques already learned in theoretical lectures in the biomedical arena. For biomedical engineering students, it presents solutions to various problems in the field using methods commonly used by control engineers.

Biomedical signal processing in the medical field has helped optimize patient care and diagnosis within medical facilities. As technology in this area continues to advance, it has become imperative to evaluate other ways these computation techniques could be implemented. Computational Tools and Techniques for Biomedical Signal Processing investigates high-performance computing techniques being utilized in hospital information systems. Featuring comprehensive coverage on various theoretical perspectives, best practices, and emergent research in the field, this book is ideally suited for computer scientists, information technologists, biomedical engineers, data-processing specialists, and medical physicists interested in signal processing within medical systems and facilities.

Metabolomics for Biomedical Research brings together recent progress on study design, analytics, biostatistics and bioinformatics for the success of metabolomics research. Metabolomics represents a very interdisciplinary research prominent in the functional analyses of living systems; hence, this book focuses on translation and medical aspects. The book discusses topics such as biomarkers and their requirements to be used in medical research, with the parameters and approaches on how to validate their quality; and animal models and other approaches, as stem cells and organoid culture. Additionally, it explains how metabolomics may be applied in prediction of individual response to drug or disease progression. This book is a valuable source for researchers on systems biology and other members of biomedical field interested in metabolism-oriented studies for medical research.

The book discusses the complex interactions between plants and their associated microbial communities. It also elucidates the ways in which these microbiomes are connected with the plant system, and how they affect plant health. The different chapters describe how microbiomes affect plants with regard to immunity, disease conditions, stress management and productivity. In addition, the book describes how an 'additional plant genome' functions as a whole organ system of the host, and how it presents both challenges and opportunities for the plant system. Moreover, the book includes a dedicated section on using omics tools to understand these interactions, and on exploiting them to their full potential.

This book highlights numerical models as powerful tools for the optimal design of Micro-Electro-Mechanical Systems (MEMS). Most MEMS experts have a background in electronics, where circuit models or behavioral models (i.e. lumped-parameter models) of devices are preferred to field models. This is certainly convenient in terms of preliminary design, e.g. in the prototyping stage. However, design optimization should also take into account fine-sizing effects on device behavior and therefore be based on distributed-parameter models, such as finite-element models. The book shows how the combination of automated optimal design and field-based models can produce powerful design toolboxes for MEMS. It especially focuses on illustrating theoretical concepts with practical examples, fostering comprehension through a problem-solving approach. By comparing the results obtained using different methods, readers will learn to identify their respective strengths and weaknesses. In addition, special emphasis is given to evolutionary computing and nature-inspired optimization strategies, the effectiveness of which has already been amply demonstrated. Given its scope, the book provides PhD students, researchers and professionals in the area of computer-aided analysis with a comprehensive, yet concise and practice-oriented guide to MEMS design and optimization. To benefit most from the book, readers should have a basic grasp of electromagnetism, vector analysis and numerical methods.