Natural Polymers in Wound Healing and Repair: From Basic Concepts to Emerging Trends presents comprehensive coverage on the development and application of natural polymers in wound healing and repair, including fundamental concepts, traditional approaches, cutting-edge methods and emerging trends. The application of natural polymers has evolved from their use in the simplest wound management material, to drug eluting matrices, to cell-laden constructs, and to 3D bio-printed skin equivalents. This book reflects the remarkable progress that has been made in recent years in this innovative field. This is an essential resource for researchers, scientists, and advanced students across polymer science, biomaterials, bio-based and sustainable materials, biomedicine, biomedical engineering, pharmaceuticals, and materials science and engineering. It will also be valuable to R&D professionals, scientists, technologists and all those working in a medical setting who are interested in the latest developments in advanced materials for wound management, healing and repair.

Nanobioanalytical Approaches to Medical Diagnostics reviews a range of nanobiomaterials and bioanalytical nano-devices for medical diagnostics. Nanobiomaterials and nano-devices are used in various bioanalytical and biochemical systems to provide real-time, point-of-care diagnostics. The specialized properties of nanoparticles allow them to be engineered and adapted to produce the required effect within a bioanalytical or biochemical system - offering targeted and detailed diagnostic results in a range of biomedical applications. This book covers both traditional biochemical and modern, combined nano-approaches to medical diagnostics. Chapters detail a range of in vitro, in vivo and ex vivo models for nanobioanalytics, including DNA and peptide-based, erythrocyte, microfluidic and more. In addition, sections also look at various different medical diagnostic applications, such as in cancer detection, infectious disease diagnosis and blood glucose sensing.

Biomedical Engineering Applications for People with Disabilities and the Elderly in the COVID-19 Pandemic and Beyond presents biomedical engineering applications used to manage people's disabilities and care for the elderly to improve their quality of life and extend life expectancy. This edited book covers all aspects of assistive technologies, including the Internet of Things (IoT), telemedicine, e-Health, m-Health, smart sensors, robotics, devices for rehabilitation, and "serious" games. This book will prove useful for bioengineers, computer science undergraduate and postgraduate students, researchers, practitioners, biomedical engineering students, healthcare workers, and medical doctors. This volume introduces recent advances in biomaterials, sensors, cellular engineering, biomedical devices, nanotechnology, and biomechanics applied in caring for the elderly and people with disabilities. The unique focus of this book is on the needs of this user base during emergency and disaster situations. The content includes risk reduction, emergency planning, response, disaster recovery, and needs assessment. This book offers readers multiple perspectives on a wide range of topics from a variety of disciplines. This book answers two key questions: What challenges will the elderly and people with disabilities face during a pandemic? How can new (or emerging) advances in biomedical engineering help with these challenges?

Multi-Chaos, Fractal and Multi-Fractional Artificial Intelligence of Different Complex Systems addresses different uncertain processes inherent in the complex systems, attempting to provide global and robust optimized solutions distinctively through multifarious methods, technical analyses, modeling, optimization processes, numerical simulations, case studies as well as applications including theoretical aspects of complexity. Foregrounding Multi-chaos, Fractal and Multi-fractional in the era of Artificial Intelligence (AI), the edited book deals with multi- chaos, fractal, multifractional, fractional calculus, fractional operators, quantum, wavelet, entropy-based applications, artificial intelligence, mathematics-informed and data driven processes aside from the means of modelling, and simulations for the solution of multifaceted problems characterized by nonlinearity, non-regularity and self-similarity, frequently encountered in different complex systems. The fundamental interacting components underlying complexity, complexity thinking, processes and theory along with computational processes and technologies, with machine learning as the core component of AI demonstrate the enabling of complex data to augment some critical human skills. Appealing to an interdisciplinary network of scientists and researchers to disseminate the theory and application in medicine, neurology, mathematics, physics, biology, chemistry, information theory, engineering, computer science, social sciences and other far-reaching domains, the overarching aim is to empower out-of-the-box thinking through multifarious methods, directed towards paradoxical situations, uncertain processes, chaotic, transient and nonlinear dynamics of complex systems.

Data Science for Genomics presents the foundational concepts of data science as they pertain to genomics, encompassing the process of inspecting, cleaning, transforming, and modeling data with the goal of discovering useful information, suggesting conclusions and supporting decision-making. Sections cover Data Science, Machine Learning, Deep Learning, data analysis, and visualization techniques. The authors then present the fundamentals of Genomics, Genetics, Transcriptomes and Proteomes as basic concepts of molecular biology, along with DNA and key features of the human genome, as well as the genomes of eukaryotes and prokaryotes. Techniques that are more specifically used for studying genomes are then described in the order in which they are used in a genome project, including methods for constructing genetic and physical maps. DNA sequencing methodology and the strategies used to assemble a contiguous genome sequence and methods for identifying genes in a genome sequence and determining the functions of those genes in the cell. Readers will learn how the information contained in the genome is released and made available to the cell, as well as methods centered on cloning and PCR.

Antiviral and Antimicrobial Smart Coatings: Fundamentals and Applications provides a critical analysis of all types of smart antiviral and antimicrobial coatings currently being researched. The book opens with a discussion of the microbial and viral pathogens, including how to identify them and their interaction with surfaces. The next three sections look at the concept of smart coatings, specifically antibacterial, antifungal, and antiviral smart coatings, types, effects, and applications. The book concludes by discussing the methods and standards for characterization of coatings and then presents several real world case studies. A valuable resource for those working in the smart coatings field.

Biomaterials for Angiogenesis and Vasculogenesis covers the application of materials designed to encourage new blood vessel formation. Angiogenesis and vasculogenesis play an important role in tissue engineering and regenerative medicine research by promoting vascular networks inside engineered tissues and thereby increasing tissue healing and regeneration. However, researchers are faced with the challenge of finding suitable materials for improving angiogenesis and vascular formation in assays. This book reviews a broad range of biomaterials for the promotion of blood vessel genesis, from polymers and bioactive glass, to nanomaterial scaffolds and 3D angiogenic constructs. In addition, the book covers a variety of applications for biomaterials in tissue repair and regeneration, including cardiovascular regeneration, liver tissue engineering and much more. It will serve as a detailed reference for researchers in academia and industry, working in the fields of biomedical science and engineering, materials science, regenerative medicine and translational medicine.

Polymeric Biomaterials for Healthcare Applications details a broad range of polymeric biomaterials, methods of synthesis and preparation, and their various applications in healthcare and biomedicine. The book provides a fundamental overview of polymers and processing technologies to allow clinical scientists to explore the use of these polymers in alternative applications. A wide variety of healthcare applications are covered, including treatment for autoimmune diseases and bacterial infections, tissue engineering, gene delivery, wound dressing, and more. The book provides a core introductory text for clinical and materials scientists new to the area of polymeric biomaterials. This book will prove useful to academics and researchers in materials science, biomedical engineering, clinical science and pharmaceutical science.

Advances in Cardiovascular Technology: New Devices and Concepts is a comprehensive reference for cardiovascular devices of all types. For engineers, this book provides a basic understanding of underlying pathologies and their prevalence/incidence. It also covers what devices are available, how they are clinically used, and their impact on pathophysiology. In addition, the book presents the constraints imposed on device design and manufacture by the environment in which it is used (e.g., exposure to tissues within the body, blood in particular) and the primary requirements for each specific type of device, including its durability and resistance to fatigue. For clinicians, this book contains information on primary engineering challenges, the types of devices available, their advantages and disadvantages, and the (current and emerging) tools and materials available to device designers.

SERS for Point-of-care and Clinical Applications focuses on the use of Surface-Enhanced Raman Spectroscopy (also known as Surface-Enhanced Raman Scattering) techniques in clinical and point-of-care settings. Sections provide an overview of SERS biomedical applications, providing in-depth information about point-of-care and clinical applications of SERS using specific examples from current literature. These applications are not always immediately evident to newcomers in the field, as Raman and SERS are often introduced as analytical methods for chemical analysis. This book offers a concise introduction to the biomedical applications of SERS for graduate students, scientists and researchers in all related fields.

Interactions of Bone with Orthopedic Implants and Possible Failures focuses on the mechanical and biological issues that may cause failure of the implant-bone construct. The book provides discussions on the effects of the design, process, surface and other engineering parameters of implants and their interaction with bone tissue. For implant designers, it is highly crucial to know the final effects of what they are designing or aiming to design, along with performance parameters. It is also crucial for orthopedic surgeons to be familiar with the background of the design and process parameters of the implant they will insert in a patient's body. With the understanding brought forth in this book, surgeons can have better implant options and implant designers can create and develop new implant designs. This book can also help biomechanical and mechanical engineers who are normally dealing with testing and analysis of orthopedic implants examine the biomechanical behavior of the implants and their interaction with bone tissue.

Hybrid Nanomaterials for Drug Delivery covers a broad range of hybrid nanomaterials and nanocomposites used in drug delivery systems. The book reviews a variety of hybrid nanomaterials and structures, including polymer-lipid, chitosan-based, protein-inorganic, quantum dot hybrids, and more. The strengths, limitations and regulatory aspects of hybrid drug delivery systems are also discussed, allowing readers to make informed decisions when choosing to utilize hybrid nanomaterials. Users will find this to be an exciting and comprehensive look into this emerging area. It will be of particular interest to academics and researchers working in materials science, engineering, biomedical engineering, nanotechnology and pharmaceutical science. Multi nanocarrier-based hybrid systems are an emerging concept in the field of drug delivery that allow researchers to avoid some of the challenges faced when administering drugs, such as low bioavailability, development of drug resistance, toxicities, premature drug release, and therapeutic efficacy.

Immunomodulatory Effects of Nanomaterials: Assessment and Analysis provides an overview of the modulatory impact of nanomaterials on the immune system, as well as evaluative and analytical methods for assessing effects. Sections cover a range of common nanomaterials for biomedical use and how different properties can elicit varied responses from the immune system. The immunomodulatory effects of these materials are then discussed, with coverage on adverse and/or toxic effects on the immune system, as well as desired modulatory effects to improve efficacy of applied therapeutics. Readers will also learn about the best evaluation methods for immunomodulatory effects of nanomaterials and associated risks. This book is a useful reference for academics and researchers with an interest in immunology, but it is also idea for those working in the fields of materials science, biomedical engineering, pharmaceutical science, immunology and toxicology.

Biomedical Product and Materials Evaluation: Standards and Ethics provides a much-needed overview of the procedures, issues, standards and ethical issues in the early development of biomedical products. The book covers a range of key biomedical products, from 3D printed organs and blood derived products, to stem calls and decellularized tissue products. Each chapter reviews a single product type, associated materials, biomedical applications, proven development strategies, and potential challenges. The core focus of the book is on the standardization and ethical aspects of biomedical product development, with these elements addressed and discussed in chapters dedicated to product evaluation. This is a useful reference for academics, researchers and industry professionals in R&D groups with an interest in biomaterial research and production, as well as those working in the fields of biomedical engineering, biotechnology and toxicology.

Augmenting Neurological Disorder Prediction and Rehabilitation Using Artificial Intelligence focuses on how the neurosciences can benefit from advances in AI, especially in areas such as medical image analysis for the improved diagnosis of Alzheimer's disease, early detection of acute neurologic events, prediction of stroke, medical image segmentation for quantitative evaluation of neuroanatomy and vasculature, diagnosis of Alzheimer's Disease, autism spectrum disorder, and other key neurological disorders. Chapters also focus on how AI can help in predicting stroke recovery, and the use of Machine Learning and AI in personalizing stroke rehabilitation therapy. Other sections delve into Epilepsy and the use of Machine Learning techniques to detect epileptogenic lesions on MRIs and how to understand neural networks.

Emerging Nanomedicines for Diabetes Mellitus Theranostics provides readers with information on the development of efficacious nanomedicines as potential theranostic agents for diabetes. The book discusses the application of various novel nanomaterials and nanocomposites for targeted delivery of insulin, glucose sensing, including nano-tattoos as glucose monitors, biosynthesized nanoparticles for diabetes treatment, and pre-clinical and clinical assays to evaluate the efficacy of nanomedicines for diabetes treatment. This is an important references source for materials scientists, pharmaceutical scientists and biomedical engineers who want to increase their understanding of how nanotechnology is being used to improve diabetes treatment. Diabetes has emerged as one of the most common diseases associated with lifestyle choices in the modern world, with significant mortality rates. Conventional treatment methods mainly involve insulin-based therapies. However, insulin therapy possesses several limitations such as weight gain and hypoglycemia. Thus, advanced research in nanomedicine is targeting the development of new and improved diagnostics and treatment methods for diabetes.

Feedback Control for Personalized Medicine provides ideas on ongoing efforts and obstacles by members of the control engineering community in different biological and medical applications. In addition, the book presents key challenges, insights, tools and theoretical developments that arise from personalized medicine, along with medical concepts that are explained by engineers to help non-experts follow research topics. Several clinical trials have tried to find therapeutic approaches to achieve eradication or at least lifelong, therapy-free, host control of the infection. This has been performed integrating clinical observations, empirical knowledge and information from medical tests to treat patients. As this "trial and error" approach is becoming more challenging and unfeasible by the steep increase in the number of different pieces of information and the complexity of large datasets, a systematic and tractable approach that integrates a variety of biological and medical research data into mathematical models and computational algorithms is crucial to harness knowledge and to develop new therapies towards personalized medicine.

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

Photoplethysmography: Technology, Signal Analysis, and Applications is the first comprehensive volume on the theory, principles, and technology (sensors and electronics) of photoplethysmography (PPG). It provides a detailed description of the current state-of-the-art technologies/optical components enabling the extreme miniaturization of such sensors, as well as comprehensive coverage of PPG signal analysis techniques including machine learning and artificial intelligence. The book also outlines the huge range of PPG applications in healthcare, with a strong focus on the contribution of PPG in wearable sensors and PPG for cardiovascular assessment.

Multi-Objective Combinatorial Optimization Problems and Solution Methods discusses the results of a recent multi-objective combinatorial optimization achievement that considered metaheuristic, mathematical programming, heuristic, hyper heuristic and hybrid approaches. In other words, the book presents various multi-objective combinatorial optimization issues that may benefit from different methods in theory and practice. Combinatorial optimization problems appear in a wide range of applications in operations research, engineering, biological sciences and computer science, hence many optimization approaches have been developed that link the discrete universe to the continuous universe through geometric, analytic and algebraic techniques. This book covers this important topic as computational optimization has become increasingly popular as design optimization and its applications in engineering and industry have become ever more important due to more stringent design requirements in modern engineering practice.

State of the Art on Grammatical Inference Using Evolutionary Method presents an approach for grammatical inference (GI) using evolutionary algorithms. Grammatical inference deals with the standard learning procedure to acquire grammars based on evidence about the language. It has been extensively studied due to its high importance in various fields of engineering and science. The book's prime purpose is to enhance the current state-of-the-art of grammatical inference methods and present new evolutionary algorithms-based approaches for context free grammar induction. The book's focus lies in the development of robust genetic algorithms for context free grammar induction. The new algorithms discussed in this book incorporate Boolean-based operators during offspring generation within the execution of the genetic algorithm. Hence, the user has no limitation on utilizing the evolutionary methods for grammatical inference.

Biomaterials in Endodontics offers an up-to-date overview of endodontic biomaterials and their applications in regenerative medicine and tissue engineering. This book details the key biomaterials used in clinical endodontics and the benefits and challenges of using these materials, from root canal obturation materials to alloys for endodontic files and hand instruments. Chapters also offer a unique insight into the regenerative applications of endodontic biomaterials, such as the use of stem cells and growth factors for bone regeneration. Biomaterials in Endodontics is a useful resource for researchers working in biomedical engineering, regenerative medicine, and materials science with an interest in dentistry and bone regeneration. This book is also a helpful guide for endodontists, dentists, dental scientists, and clinicians with an interest in biomaterials for endodontics.

Mechanical Design of Piezoelectric Energy Harvesters: Generating Electricity from Human Walking provides the state-of-the-art, recent mechanical designs of piezoelectric energy harvesters based on piezoelectric stacks. The book discusses innovative mechanism designs for energy harvesting from multidimensional force excitation, such as human walking, which offers higher energy density. Coverage includes analytical modeling, optimal design, simulation study, prototype fabrication, and experimental investigation. Detailed examples of their analyses and implementations are provided. The book's authors provide a unique perspective on this field, primarily focusing on novel designs for PZT Energy harvesting in biomedical engineering as well as in integrated multi-stage force amplification frame. This book presents force-amplification compliant mechanism design and force direction-transmission mechanism design. It explores new mechanism design approaches using piezoelectric materials and permanent magnets. Readers can expect to learn how to design new mechanisms to realize multidimensional energy harvesting systems.

Data Science for COVID-19, Volume 2: Societal and Medical Perspectives presents the most current and leading-edge research into the applications of a variety of data science techniques for the detection, mitigation, treatment and elimination of the COVID-19 virus. At this point, Cognitive Data Science is the most powerful tool for researchers to fight COVID-19. Thanks to instant data-analysis and predictive techniques, including Artificial Intelligence, Machine Learning, Deep Learning, Data Mining, and computational modeling for processing large amounts of data, recognizing patterns, modeling new techniques, and improving both research and treatment outcomes is now possible.