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Books > Medicine > Nursing & ancillary services > Biomedical engineering > General
Smart materials are the way of the future in a variety of fields, from biomedical engineering and chemistry to nanoscience, nanotechnology, and robotics. Featuring an interdisciplinary approach to smart materials and structures, this second edition of Artificial Muscles: Applications of Advanced Polymeric Nanocomposites has been fully updated to thoroughly review the latest knowledge of ionic polymeric conductor nanocomposites (IPCNCs), including ionic polymeric metal nanocomposites (IPMNCs) as biomimetic distributed nanosensors, nanoactuators, nanotransducers, nanorobots, artificial muscles, and electrically controllable intelligent polymeric network structures. Authored by one of the founding fathers of the field, the book introduces fabrication and manufacturing methods of several electrically and chemically active ionic polymeric sensors, actuators, and artificial muscles, as well as a new class of electrically active polymeric nanocomposites and artificial muscles. It also describes a few apparatuses for modeling and testing various artificial muscles to show the viability of chemoactive and electroactive muscles. It presents the theories, modeling, and numerical simulations of ionic polymeric artificial muscles' electrodynamics and chemodynamics and features current industrial and medical applications of IPMNCs. By covering the fabrication techniques of and novel developments in advanced polymeric nanocomposites, this second edition continues to provides an accessible yet solid foundation to the subject while stimulating further research. Key features: Fully up to date with the latest cutting-edge discoveries in the field Authored by a world expert in the subject area Explores the exciting and growing topic of smart materials in medicine Mohsen Shahinpoor is Professor of Mechanical Engineering at the University of Maine and a leading expert in artificial muscles.
Describes preparation, characterization, and applications of pH responsive membranes in biomedical applications. Introduces the theoretical understanding of the pH responsiveness. Covers advancement of techniques regarding pH responsive membranes. Provide insights for the development of new materials and membranes. Discusses advancements in drug delivery, haemodialysis, antibodies and enzyme production, chemical sensing and selective ionic transport using pH responsive membranes.
Covers computational Intelligence techniques like fuzzy sets, artificial neural networks, deep neural networks, and genetic algorithm for Healthcare systems Provides easy understanding concepts like signal and image filtering techniques Includes discussion over filtering and classification problems Details studies with medical signal (ECG, EEG, EMG) and image (X-rays, FMRI, CT) datasets Describes evolution parameters such as signal-to-noise ratio, mean square error, accuracy, precision, and recall
This book investigates the latest developments in supramolecular assembly systems for mimicking biological structures and functions. Consisting of 14 chapters, it covers various assembly systems, such as polysaccharides, peptides, proteins, biopolymers, natural materials and various hybrid systems. Further, it focuses on different types of supramolecular systems with particular functions or structures that are relevant to living systems. A number of modern techniques used to study the supramolecular systems, such as total internal reflection fluorescence microscopy (TIRFM) and two-photon confocal microscopy, are also introduced in detail. Unlike conventional books on supramolecular assemblies, this book highlights the functions of the assembly systems, particularly their biological applications. As such, it offers a valuable resource for experienced researchers, as well as graduate students working in the field of supramolecular chemistry and biomimetic systems.
This book highlights the growing applications of THz technology and various modules used for their successful realization. The enormous advantages of THz devices like higher resolution, spatial directivity, high-speed communication, greater bandwidth, non-ionizing signal nature and compactness make them useful in various applications like communication, sensing, security, safety, spectroscopy, manufacturing, bio-medical, agriculture, imaging, etc. Since the THz radiation covers frequencies from 0.1THz to around 10THz and highly attenuated by atmospheric gases, they are used in short-distance applications only. The book focuses on recent advances and different research issues in terahertz technology and presents theoretical, methodological, well-established and validated empirical works dealing with the different topics.
Physical oncology has the potential to revolutionize cancer research and treatment. The fundamental rationale behind this approach is that physical processes, such as transport mechanisms for drug molecules within tissue and forces exchanged by cancer cells with tissue, may play an equally important role as biological processes in influencing progression and treatment outcome. This book introduces the emerging field of physical oncology to a general audience, with a focus on recent breakthroughs that help in the design and discovery of more effective cancer treatments. It describes how novel mathematical models of physical transport processes incorporate patient tissue and imaging data routinely produced in the clinic to predict the efficacy of many cancer treatment approaches, including chemotherapy and radiation therapy. By helping to identify which therapies would be most beneficial for an individual patient, and quantifying their effects prior to actual implementation in the clinic, physical oncology allows doctors to design treatment regimens customized to each patient's clinical needs, significantly altering the current clinical approach to cancer treatment and improving the outcomes for patients.
This book covers nanomaterials in tissue engineering for regenerative therapies of heart, skin, eye, skeletal muscle, and the nervous system. The book emphasizes fundamental design concepts and emerging forms of nanomaterials in soft- and hard-tissue engineering. FEATURES Fills a gap in the literature related to the application of nanomaterials in hard- and soft-tissue regeneration, repair, and restructure Discusses a variety of applications, including cardiac, kidney, liver, bone, wound healing, artificial organs, and dental Presents advantages and limitations of various nanomaterials alongside future challenges Functional Nanomaterials for Regenerative Tissue Medicines is essential for academics and industry professionals working in tissue engineering, biomedicine, biopharmaceuticals, and nanotechnology. It is primarily intended for materials researchers (to develop the platforms related to tissue regeneration) as well as clinicians (to learn and apply nanomaterials in their practice) and industrial scientists (to develop commercial blood substitute products).
This monograph will provide an in-depth mathematical treatment of modern multiple test procedures controlling the false discovery rate (FDR) and related error measures, particularly addressing applications to fields such as genetics, proteomics, neuroscience and general biology. The book will also include a detailed description how to implement these methods in practice. Moreover new developments focusing on non-standard assumptions are also included, especially multiple tests for discrete data. The book primarily addresses researchers and practitioners but will also be beneficial for graduate students.
Since the early 20th century, medical imaging has been dominated by monochrome imaging modalities such as x-ray, computed tomography, ultrasound, and magnetic resonance imaging. As a result, color information has been overlooked in medical image analysis applications. Recently, various medical imaging modalities that involve color information have been introduced. These include cervicography, dermoscopy, fundus photography, gastrointestinal endoscopy, microscopy, and wound photography. However, in comparison to monochrome images, the analysis of color images is a relatively unexplored area. The multivariate nature of color image data presents new challenges for researchers and practitioners as the numerous methods developed for monochrome images are often not directly applicable to multichannel images. The goal of this volume is to summarize the state-of-the-art in the utilization of color information in medical image analysis.
"Advances in Calcium Phosphate Biomaterials" presents a comprehensive, state-of-the-art review of the latest advances in developing calcium phosphate biomaterials and their applications in medicine. It covers the fundamental structures, synthesis methods, characterization methods, and the physical and chemical properties of calcium phosphate biomaterials, as well as the synthesis and properties of calcium phosphate-based biomaterials in regenerative medicine and their clinical applications. The book brings together these new concepts, mechanisms and methods in contributions by both young and veteran academics, clinicians, and researchers to forward the knowledge and expertise on calcium phosphate and related materials. Accordingly, the book not only covers the fundamentals but also open new avenues for meeting future challenges in research and clinical applications. Besim Ben-Nissan is a Professor of Chemistry and Forensic Science at the University of Technology, Sydney, Australia"
In nowadays aging society, many people require mobility assistance. Sometimes, assistive devices need a certain degree of autonomy when users' disabilities difficult manual control. However, clinicians report that excessive assistance may lead to loss of residual skills and frustration. Shared control focuses on deciding when users need help and providing it. Collaborative control aims at giving just the right amount of help in a transparent, seamless way. This book presents the collaborative control paradigm. User performance may be indicative of physical/cognitive condition, so it is used to decide how much help is needed. Besides, collaborative control integrates machine and user commands so that people contribute to self-motion at all times. Collaborative control was extensively tested for 3 years using a robotized wheelchair at a rehabilitation hospital in Rome with volunteer inpatients presenting different disabilities, ranging from mild to severe. We also present a taxonomy of common metrics for wheelchair navigation and tests are evaluated accordingly. Obtained results are coherent both from a quantitative and qualitative point of view.
An edited volume describing the latest developments in approaching the problem of polymer sequence analysis, with special emphasis on the most relevant biopolymers (peptides and DNA) but not limited to them. The chapters will include peptide sequence analysis, DNA sequence analysis, analysis of biopolymers and nonpolymers, sequence alignment problems, and more.
This title gives an overview of composites and biocomposites. It discusses the history of CaPO4/ /polymer biocomposites and hybrid biomaterials, as well as analyzing the latest developments in the field. It also covers bioactivity and biodegradation of CaPO4-based biomaterials.
1) This book critically examines the medical biotechnology industry in India. 2) With the help of data and case studies, it showcases the role of various financial actors, state institutions, and academia in maintaining the biotechnology ecosystem. 3) This book will be of interest to departments of political economy and medical sociology across UK and USA.
Host Response to Biomaterials explains the various categories of biomaterials and their significance for clinical applications, with a focus on the host response to each biomaterial. It also explores the role of the immune system in host response, and covers the regulatory environment for biomaterials. The benefits of synthetic versus natural biomaterials are discussed, as is the transition from simple to complex biomaterial solutions. Dr. Badylak and a team of expert contributors have pooled their experience in this volume, in order to contribute to the effort to make interactive biomaterials with the ability to respond to the tissue microenvironment and direct the host response. The range of fields covered is extensive; including, but not limited to, orthopaedic, surgery, dental, general surgery, neurosurgery, lower urinary tract, and regenerative medicine. This is one of the first books to connect immunology and biomaterials in regard to host response. Author response to reviews; I agree with the comments that were made especially regarding the intended emphasis upon the host response being the motivating concept behind the book. We really do not need another biomaterials textbook, but we do need something that interrogates and explains the host response. Much of the comments revolved around the titles of the sections/chapters and indeed that is easy enough to remedy. I am not interested in editing another book on various types of biomaterials, but obviously the various types of biomaterials will elicit a different and probably unique type of host response. This information will be important to not only practicing physicians, but also medical device companies designing next generation biomaterials, as well as students and research scientists interested in developing such materials for clinical use and regenerative medicine purposes. The key is the host response. The list of contributors will be scientists interested in the innate immune response, host-biomaterial interfaces, etc ..not classic material scientists. There are no textbooks to my knowledge with this focus in mind. One either has to go to the traditional immunology literature which is heavily slanted toward mechanisms of T-cell, B-cell, and dendritic cell biology, or to classic biomaterials literature and try to connect the two. The purpose of this textbook is to fill that void. I do plan to change the TOC. The new table will reflect the host response emphasis of the chapters. FYI, when I prepared the draft of the TOC, I was thinking in terms of general categories of materials to which the host must respond (and the chapters that would address this). My error was in listing this with respect more to the different biomaterials rather than the host response. I will need to think of how to emphasize my intent in the chapter titles without sounding too repetitive. There will definitely be a chapter, probably several, on combination/hybrid devices/materials. These will include the bioactive devices ie., devices functionalized with various bioactive factors. I will add this to the TOC. I do not plan to place great emphasis on the regulatory issues
regarding the materials and the host response but I will like
suggest one chapter on the view of the regulatory agencies with
respect to the various types of device categories
Stochastic Modeling for Medical Image Analysis provides a brief introduction to medical imaging, stochastic modeling, and model-guided image analysis. Today, image-guided computer-assisted diagnostics (CAD) faces two basic challenging problems. The first is the computationally feasible and accurate modeling of images from different modalities to obtain clinically useful information. The second is the accurate and fast inferring of meaningful and clinically valid CAD decisions and/or predictions on the basis of model-guided image analysis. To help address this, this book details original stochastic appearance and shape models with computationally feasible and efficient learning techniques for improving the performance of object detection, segmentation, alignment, and analysis in a number of important CAD applications. The book demonstrates accurate descriptions of visual appearances and shapes of the goal objects and their background to help solve a number of important and challenging CAD problems. The models focus on the first-order marginals of pixel/voxel-wise signals and second- or higher-order Markov-Gibbs random fields of these signals and/or labels of regions supporting the goal objects in the lattice. This valuable resource presents the latest state of the art in stochastic modeling for medical image analysis while incorporating fully tested experimental results throughout.
This book discusses the applications, challenges, and future trends of machine learning in medical domain, including both basic and advanced topics. The book presents how machine learning is helpful in smooth conduction of administrative processes in hospitals, in treating infectious diseases, and in personalized medical treatments. The authors show how machine learning can also help make fast and more accurate disease diagnoses, easily identify patients, help in new types of therapies or treatments, model small-molecule drugs in pharmaceutical sector, and help with innovations via integrated technologies such as artificial intelligence as well as deep learning. The authors show how machine learning also improves the physician's and doctor's medical capabilities to better diagnosis their patients. This book illustrates advanced, innovative techniques, frameworks, concepts, and methodologies of machine learning that will enhance the efficiency and effectiveness of the healthcare system. Provides researchers in machine and deep learning with a conceptual understanding of various methodologies of implementing the technologies in medical areas; Discusses the role machine learning and IoT play into locating different virus and diseases across the globe, such as COVID-19, Ebola, and cervical cancer; Includes fundamentals and advances in machine learning in the medical field, supported by significant case studies and practical applications.
This book provides a multifaceted look into the world of stem cells and explains the similarities and differences between plant and human stem cells. It explores the intersection between animals and plants and explains their cooperative role in bioengineering studies. The book treats both theoretical and practical aspects of stem cell research. It covers the advantages and limitations of many common applications related to stem cells: their sources, categories, engineering of these cells, reprogramming of their functions, and their role as novel cellular therapeutic approach. Written by experts in the field, the book focuses on aspects of stem cells ranging from expansion-propagation to metabolic reprogramming. It introduces the emergence of cancer stem cells and different modalities in targeted cancer stem cell therapies. It is a valuable source of fresh information for academics and researchers, examining molecular mechanisms of animal and plant stem cell regulation and their usage for therapeutic applications. Students at all levels of medical or engineering backgrounds will enjoy the case studies that illustrate and explain mechanisms, interactions, targeted effects, and multimodal therapeutic approaches. Academics, researchers, and professionals who want to expand their knowledge in this field will find this book an exceptional resource.
This book examines non-invasive, electrical-based methods for disease diagnosis and assessment of heart function. In particular, a formalized signal model is proposed since this offers several advantages over methods that rely on measured data alone. By using a formalized representation, the parameters of the signal model can be easily manipulated and/or modified, thus providing mechanisms that allow researchers to reproduce and control such signals. In addition, having such a formalized signal model makes it possible to develop computer tools that can be used for manipulating and understanding how signal changes result from various heart conditions, as well as for generating input signals for experimenting with and evaluating the performance of e.g. signal extraction methods. The work focuses on bioelectrical information, particularly electrical bio-impedance (EBI). Once the EBI has been measured, the corresponding signals have to be modelled for analysis. This requires a structured approach in order to move from real measured data to the model of the corresponding signals. This book proposes a generic framework for this procedure. It can be used as a guide for modelling impedance cardiography (ICG) and impedance respirography (IRG) signals, as well as for developing the corresponding bio-impedance signal simulator (BISS).
Directs the attention to the smart digital healthcare system in this COVID-19 pandemic. Simulates novel investigations and how they will be beneficial in understanding the pandemic. Presents the latest ideas developed for data scientists, doctors, engineers, and economists. Analyses the various issues related to computing, AI apps, big data analytic techniques, and predictive scientific skill gaps. Explains some interesting and diverse types of challenges and data-driven healthcare applications.
Provides a comprehensive guide about how to use machine vision for Industry 4.0 applications like analysis of images for automated inspections, object detection, object tracking etc. Includes case studies of Robotics Internet of Things with its current and future applications in Healthcare, Agriculture, Transportation, etc. It highlights the inclusion of impaired people in industry, like intelligent assistant that helps deaf-mute people to transmit instructions and warnings in a manufacturing process. It examines the significant technological advancements in machine vision for industrial Internet of things and explores the commercial benefits using the real world applications from healthcare to transportation. Provides a conceptual framework of Machine vision for the various Industrial applications. Addresses scientific aspects for a wider audience such as senior and junior engineers, undergraduate and post-graduate students, researchers, and anyone else interested in the trends, development, and opportunities for the Machine Vision for Industry 4.0 applications.
Emerging microbial and viral infections are a serious challenge to health, safety, and economics around the world. Antimicrobial and antiviral technologies are needed to disrupt the progression and replication of bacteria and viruses and to counter their rapidly evolving resistance. This book discusses recent developments in materials science and engineering in combating infectious diseases and explores advances in antimicrobial and antiviral materials, including polymers, metals, and ceramics and their applications in the fight against pathogens. Features * Covers progress in biomimetic antimicrobial and antiviral materials and antimicrobial/antiviral bulk materials and coatings * Describes modern methods for disinfection of biomedical materials against microbial and viral infection resistance, especially for depressing novel coronavirus (COVID-19) * Details methods to improve material properties to have a longer service life in combating infection * Emphasizes chemical, physical, mechanical, tribological, and antimicrobial/antiviral properties * Offers current and future applications of emerging antimicrobial/antiviral technologies This book will be of interest to materials researchers and industry professionals focusing on antimicrobial and antiviral applications.
In healthcare, the realisation of an optimistic prognosis against pessimistic ones depends on current innovations in diagnostic and cost-effective treatment approaches being widely adopted in clinical practice. Utilisation of advanced early and predictive diagnostics, targeted prevention and personalised medical approaches could enable the elderly subpopulation to reach the 100-year age limit in good physical and mental health, as actively contributing members of society. This task requires intelligent political regulations and creation of new guidelines to advance current healthcare systems. In this book, we will collect contributions from several geopolitical regions of Europe, Asia and USA that provide expert opinion on healthcare organisation and outlook as well as economical aspects of personalised medicine.
This book gathers state-of-the-art research in computational engineering and bioengineering to facilitate knowledge exchange between various scientific communities. Computational engineering (CE) is a relatively new discipline that addresses the development and application of computational models and simulations often coupled with high-performance computing to solve complex physical problems arising in engineering analysis and design in the context of natural phenomena. Bioengineering (BE) is an important aspect of computational biology, which aims to develop and use efficient algorithms, data structures, and visualization and communication tools to model biological systems. Today, engineering approaches are essential for biologists, enabling them to analyse complex physiological processes, as well as for the pharmaceutical industry to support drug discovery and development programmes. |
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