This volume focuses on smart medical and healthcare systems (modern intelligent systems for medicine and healthcare) and includes 31 papers presenting recent trends and innovations in medicine and healthcare, including biomedical engineering research and technologies; machine learning and labeling for biomedical visual data analysis and understanding; advanced ICT for medicine and healthcare; and healthcare support systems. Innovation in medicine and healthcare is an interdisciplinary research area, which combines advanced technologies and problem-solving skills with medical and biological science, and smart medical and healthcare systems can provide efficient and accurate solution to problems faced by healthcare and medical practitioners today by using advanced information communication techniques, computational intelligence, mathematics, robotics and other advanced technologies. Discussing the techniques developed in this area, which will have a significant effect on future medicine and healthcare, the book is a valuable resource for researchers, students, engineers, and professionals working in the fields of medical systems, medical technology, and intelligent systems.

This book presents a collection of state-of-the-art approaches for deep-learning-based biomedical and health-related applications. The aim of healthcare informatics is to ensure high-quality, efficient health care, and better treatment and quality of life by efficiently analyzing abundant biomedical and healthcare data, including patient data and electronic health records (EHRs), as well as lifestyle problems. In the past, it was common to have a domain expert to develop a model for biomedical or health care applications; however, recent advances in the representation of learning algorithms (deep learning techniques) make it possible to automatically recognize the patterns and represent the given data for the development of such model. This book allows new researchers and practitioners working in the field to quickly understand the best-performing methods. It also enables them to compare different approaches and carry forward their research in an important area that has a direct impact on improving the human life and health. It is intended for researchers, academics, industry professionals, and those at technical institutes and R&D organizations, as well as students working in the fields of machine learning, deep learning, biomedical engineering, health informatics, and related fields.

This book presents a compilation of the most recent implementation of artificial intelligence methods for solving different problems generated by the COVID-19. The problems addressed came from different fields and not only from medicine. The information contained in the book explores different areas of machine and deep learning, advanced image processing, computational intelligence, IoT, robotics and automation, optimization, mathematical modeling, neural networks, information technology, big data, data processing, data mining, and likewise. Moreover, the chapters include the theory and methodologies used to provide an overview of applying these tools to the useful contribution to help to face the emerging disaster. The book is primarily intended for researchers, decision makers, practitioners, and readers interested in these subject matters. The book is useful also as rich case studies and project proposals for postgraduate courses in those specializations.

This book is open access under a CC BY 4.0 license. CRISPR-Cas9 is a rapid, efficient, versatile and relatively cheap method for dissecting the molecular pathways that are the basis of life, as well as for investigating and potentially rectifying faults in these pathways that result in disease. This book reviews how CRISPR-Cas9 and other genome editing techniques are advancing our understanding of development and function in the nervous system, uncovering the molecular causes of neurological disorders and providing tools for gene therapy.

This book discusses the latest developments of the synthesis, preparation, characterization, and applications of nano/microstructure-based materials in biomedical and energetic fields. It introduces several popular approaches to fabricating these materials, including template-assisted fabrication, electrospinning of organic/inorganic hybrid materials, biomineralization-mediated self-assembly, etc. The latest results in material evaluation for targeted applications are also presented. In particular, the book highlights the latest advances and future challenges in polymer nanodielectrics for energy storage applications. As such, it offers a valuable reference guide for scholars interested in the synthesis and evaluation of nano/microstructure-based materials, as well as their biomedical and energetic applications. It also provides essential insights for graduate students and scientists pursuing research in the broad fields of composite materials, polymers, organic/inorganic hybrid materials, nano-assembly, etc.

This textbook introduces readers to the recent advances in the emerging field of genetic design automation (GDA). Starting with an introduction and the basic concepts of molecular biology, the authors provide an overview of various genetic design automation tools. The authors then present the DVASim tool (Dynamic Virtual Analyzer and Simulator) which is used for the analysis and verification of genetic logic circuits. This includes methods and algorithms for the timing and threshold value analyses of genetic logic circuits. Next, the book presents the GeneTech tool (A technology mapping tool for genetic circuits) and the methods developed for optimization, synthesis, and technology mapping of genetic circuits. Chapters are followed by exercises which give readers hands-on practice with the tools presented. The concepts and algorithms are thoroughly described, enabling readers to improve the tools or use them as a starting point to develop new tools. Both DVASim and GeneTech are available from the developer's website, free of charge. This book is intended for a multidisciplinary audience of computer scientists, engineers and biologists. It provides enough background knowledge for computer scientists and engineers, who usually do not have any background in biology but are interested to get involved in this domain. This book not only presents an accessible basic introduction to molecular biology, it also includes software tools which allow users to perform laboratory experiments in a virtual in-silico environment. This helps newbies to get a quick start in understanding and developing genetic design automation tools. The third part of this book is particular useful for biologists who usually find it difficult to grasp programming and are reluctant to developing computer software. They are introduced to the graphical programming language, LabVIEW, from which they can start developing computer programs rapidly. Readers are further provided with small projects which will help them to start developing GDA tools.

This volume is about ultra high-speed cameras, which enable us to see what we normally do not see. These are objects that are moving very fast, or that we just ignore. Ultra high-speed cameras invite us to a wonderland of microseconds. There Alice (the reader) meets a ultra high-speed rabbit (this volume) and travels together through this wonderland from the year 1887 to 2017. They go to the horse riding ground and see how a horse gallops. The rabbit takes her to a showroom where various cameras and illumination devices are presented. Then, he sends Alice into semiconductor labyrinths, wind tunnels, mechanical processing factories, and dangerous explosive fields. Sometimes Alice is large, and at other times she is very small. She sits even inside a car engine. She falls down together with a droplet. She enters a microbubble, is thrown out with a jet stream, and finds herself in a human body. Waking up from her dream, she sees children playing a game: "I see what you do not see, and this is....". Alice thinks: "The ultra high-speed rabbit showed me many things which I had never seen. Now I will go again to this wonderland, and try to find something new.

This book reviews stem cell behavior in the lung as it relates to regenerative medicine and stem cell therapeutics. Topics ranging from basic developmental mechanisms of various types of lung stem cells through the identification and properties of stem cell behavior and their potential applications in lung repair and regeneration, are discussed by an expert in the field. These discoveries are placed within the structural context of tissue and developmental biology in sections dealing with recent advances in understanding of developmental lung stem cell biology and behavior and their potential applications. Lung Stem Cell Behavior is essential reading for researchers in stem cell biology and regenerative medicine, patient advocates, undergraduate students, graduate students, and clinicians interested in cellular therapy and tissue engineering therapies.

This book collects the proceedings of the International Congress on Health Sciences and Medical Technologies (ICHSMT), held in Tlemcen, Algeria, from December 5 to 7, 2019. The proceedings present a forum for the latest projects and research in scientific and technological development with an emphasis on smart healthcare system design and future technologies. ICHSMT brings together researchers, students, and professionals from the healthcare, corporate, and academic sectors. It includes a far-reaching program supported by a variety of technical tracks that seek to promote medical technologies and innovation at a nationwide level.

This book describes preparation techniques for well-defined, customizable poly(organo)phosphazene materials and their applications in nanomedicine, i.e. as macromolecular carriers for drug delivery, immunology, gene therapy, or tissue regeneration. This 2nd edition of Polyphosphazenes for Medical Applications has been updated and extended for researchers in the field as well as those considering using polyphosphazenes for a specific application.

This book highlights the latest advances in the application of artificial intelligence and data science in health care and medicine. Featuring selected papers from the 2020 Health Intelligence Workshop, held as part of the Association for the Advancement of Artificial Intelligence (AAAI) Annual Conference, it offers an overview of the issues, challenges, and opportunities in the field, along with the latest research findings. Discussing a wide range of practical applications, it makes the emerging topics of digital health and explainable AI in health care and medicine accessible to a broad readership. The availability of explainable and interpretable models is a first step toward building a culture of transparency and accountability in health care. As such, this book provides information for scientists, researchers, students, industry professionals, public health agencies, and NGOs interested in the theory and practice of computational models of public and personalized health intelligence.

The Internet and other technological developments are now playing increasing roles in the management of knowledge within consumer health behavior and the delivery of health services. Biomedical Knowledge Management: Infrastructures and Processes for E-Health Systems provides multidisciplinary best practices and experiences in knowledge management relevant to the healthcare industry. A useful reference for field researchers, academicians, and healthcare practitioners, this Handbook of Research presents an in-depth examination of common approaches to shared problems in the management of knowledge within e-health services.

This book presents current laboratory, scientific and clinical aspects of nanomaterials used for medical applications in the fields of regenerative medicine, dentistry and pharmacy. It gives a broad overview of the in vitro compatibility assessment of nanostructured materials implemented in the medical field by the combination of classical biological protocols. The chapters cover all aspects of integrative medicine, such as green derived nanomaterials for biological applications; synthetic and nature-derived lipid nanoparticles and polymer nanoparticles.

This volume will outline how to recreate the tumor microenvironment, to culture primary tumors without the need for developmental priming factors, and to deliver targeted therapeutics in a manner that recapitulates pharmacokinetics in vivo. Much of what may be learned from this volume will aid in understanding many aspects of the enhanced study of tumor cell biology in a physiologic context, open new avenues for drug screening and biomarker development, and accelerate the preclinical evaluation of novel personalized medicine strategies for patients in real time.

This book describes the development of three dimensional electroactive fibres using a novel coaxial wet-spinning approach from organic conductors in combination with non-conducting hydrogel polymers. This book also presents the characterization and evaluation of multiaxial biofibres in terms of mechanical, physical, electrochemical and biological properties, and explores their use in a diverse range of applications including implantable electrodes, drug delivery systems and energy-storage systems. In the first chapter, the author highlights the significance of engineering three dimensional fibres, introduces the involved hydrogels and organic conductors with emphasis on their biomedical application, and collects some of the previously established methods for fabrication of biofibres. In the second chapter, particular attention is given to the overall experimental fabrication methods and characterization analyses conducted in the work. Chapters three to five present the main findings of this work, in which readers will discover how novel hybrid hydrogel fibres with an inner core of chitosan and alginate were prepared and characterized, how graphene was incorporated into coaxial wet-spun biofibres, and how one-dimensional triaxial fibres were developed using a novel coaxial wet-spinning fibre production method and applied as potential battery devices. In the final chapter of this work, the author summarizes the main achievements of the work and outlines some recommendations for future research.

This book discusses recent advances in hydrogels, including their generation and applications and presents a compendium of fundamental concepts. It highlights the most important hydrogel materials, including physical hydrogels, chemical hydrogels, and nanohydrogels and explores the development of hydrogel-based novel materials that respond to external stimuli, such as temperature, pressure, pH, light, biochemicals or magnetism, which represent a new class of intelligent materials. With their multiple cooperative functions, hydrogel-based materials exhibit different potential applications ranging from biomedical engineering to water purification systems. This book covers key topics including superabsorbent polymer hydrogel; intelligent hydrogels for drug delivery; hydrogels from catechol-conjugated materials; nanomaterials loaded hydrogel; electrospinning of hydrogels; biopolymers-based hydrogels; injectable hydrogels; interpenetrating-polymer-network hydrogels: radiation- and sonochemical synthesis of micro/nano/macroscopic hydrogels; DNA-based hydrogels; and multifunctional applications of hydrogels. It will prove a valuable resource for researchers working in industry and academia alike.

This book presents different approaches on multi-modality imaging with a focus on biomedical applications. Medical imaging can be divided into two categories: functional (related to physiological body measurements) and anatomical (structural) imaging modalities. In particular, this book covers imaging combinations coming from the usual popular modalities (such as the anatomical modalities, e.g. X-ray, CT and MRI), and it also includes some promising and new imaging modalities that are still being developed and improved (such as infrared thermography (IRT) and photoplethysmography imaging (PPGI)), implying potential approaches for innovative biomedical applications. Moreover, this book includes a variety of tools on computer vision, imaging processing, and computer graphics, which led to the generation and visualization of 3D models, making the most recent advances in this area possible. This is an ideal book for students and biomedical engineering researchers covering the biomedical imaging field.

This book is the first to focus specifically on cancer nanotheranostics. Each of the chapters that make up this comprehensive volume is authored by a researcher, clinician, or regulatory agency member known for their expertise in this field. Theranostics, the technology to simultaneously diagnose and treat a disease, is a nascent field that is growing rapidly in this era of personalized medicine. As the need for cost-effective disease diagnosis grows, drug delivery systems that can act as multifunctional carriers for imaging contrast and therapy agents could provide unique breakthroughs in oncology. Nanotechnology has enabled the development of smart theranostic platforms that can concurrently diagnose disease, start primary treatment, monitor response and initiate secondary treatments if required. In oncology, chemotherapeutics have been routinely used. Some drugs have proven effective but all carry risks of adverse side effects. There is growing interest in using remotely triggered drug delivery systems to limit cytotoxicity in the diseased area. This book reviews the use of theranostic nanoparticles for cancer applications over the past decade. First, it briefly discusses the challenges and limitations of conventional cancer treatments, and presents an overview of the use of nanotechnology in treating cancer. These introductory chapters are followed by those exploring cancer diagnosis and a myriad of delivery methods for nanotherapeutics. The book also addresses multifunctional platforms, treatment monitoring, and regulatory considerations. As a whole, the book aims to briefly summarize the development and clinical potential of various nanotheranostics for cancer applications, and to delineate the challenges that must be overcome for successful clinical development and implementation of such cancer theranostics.

This book explains the anatomy and physiology of cartilage tissue in an integrated way. The emphasis is on how cartilage tissue functions and maintains homeostasis in a challenging mechanical environment. Supported by hundreds of references, the book posts new hypotheses explaining how cartilage adapts and achieves homeostasis in vivo, and tests them against available data. This exploratory approach creates a sense of discovery that the reader can join, or perhaps test themselves through their own research. The main benefit will be obtained by research students and professors looking to understand the deeper concepts that will further their own research, or clinicians (including health professionals and surgeons) who want to gain a deeper physiological understanding of cartilage tissue, which can then serve as a basis for more rational clinical decision-making they need to make on a daily basis. To help bridge the gap between basic science and clinically relevant joint disease, applications and interpretations of key physiological concepts are discussed in the context of osteoarthritis at the end of most chapters.

This book provides an introduction to the biological background of heart functioning and analyzes the various materials and technologies used for the development of microfluidic systems dedicated to cell culture, with an emphasis on cardiac cells. The authors describe the characterization of microfluidic systems for cardiac cell culture and center their discussion of the use of stem cell stimulation based on four different types: electrical, biochemical, physical, and mechanical. This book is appropriate for researchers focused on on-chip technologies and heart studies, students in bioengineering and microengineering courses, and a variety of professionals, such as biotechnologists, biomedical engineers, and clinicians working in the cardiac diseases field.

This book introduces readers to the latest exciting advances in human motion sensing and recognition, from the theoretical development of fuzzy approaches to their applications. The topics covered include human motion recognition in 2D and 3D, hand motion analysis with contact sensors, and vision-based view-invariant motion recognition, especially from the perspective of Fuzzy Qualitative techniques. With the rapid development of technologies in microelectronics, computers, networks, and robotics over the last decade, increasing attention has been focused on human motion sensing and recognition in many emerging and active disciplines where human motions need to be automatically tracked, analyzed or understood, such as smart surveillance, intelligent human-computer interaction, robot motion learning, and interactive gaming. Current challenges mainly stem from the dynamic environment, data multi-modality, uncertain sensory information, and real-time issues. These techniques are shown to effectively address the above challenges by bridging the gap between symbolic cognitive functions and numerical sensing & control tasks in intelligent systems. The book not only serves as a valuable reference source for researchers and professionals in the fields of computer vision and robotics, but will also benefit practitioners and graduates/postgraduates seeking advanced information on fuzzy techniques and their applications in motion analysis.

This book showcases new and innovative approaches to biometric data capture and analysis, focusing especially on those that are characterized by non-intrusiveness, reliable prediction algorithms, and high user acceptance. It comprises the peer-reviewed papers from the international workshop on the subject that was held in Ancona, Italy, in October 2014 and featured sessions on ICT for health care, biometric data in automotive and home applications, embedded systems for biometric data analysis, biometric data analysis: EMG and ECG, and ICT for gait analysis. The background to the book is the challenge posed by the prevention and treatment of common, widespread chronic diseases in modern, aging societies. Capture of biometric data is a cornerstone for any analysis and treatment strategy. The latest advances in sensor technology allow accurate data measurement in a non-intrusive way, and in many cases it is necessary to provide online monitoring and real-time data capturing to support a patient's prevention plans or to allow medical professionals to access the patient's current status. This book will be of value to all with an interest in this expanding field.

This book marries stem cell biology, tissue engineering, and regenerative biology into a single, interdisciplinary volume. The chapters also explore embryonic stem cells, induced pluripotent stem cells, cardiovascular regeneration, skeletal development, inflammation, polymeric biomaterials, neural injury, cartilage regeneration, regeneration in ambystoma, models for regeneration using salamander and zebrafish, and more. The volume also discusses recent advances and their potential in developing future therapies. Innovations in Molecular Mechanisms and Tissue Engineering combines perspectives from the biomedical, bioengineering, and medical fields to present a cutting-edge, multifaceted picture of the tissue engineering and regenerative medicine fields. This installment of Springer's Stem Cell Biology and Regenerative Medicine series is ideal for scientists, clinicians, and researchers in the fields of stem cell biology, regenerative medicine, biomedical engineering, and tissue engineering.

This book provides a comprehensive review of recent innovations in food science that are being used to tackle the challenges of food safety, nutritional security and sustainability. With a major focus on developing nations, like India, the book is divided into four main sections. The first section provides an overview of the food industry, while the second explores food safety in various segments, with an interesting account of street food safety - an important, yet often neglected aspect for safety parameters. The third section, on nutritional security and sustainability, explores various ways of maximizing nutrition and optimizing waste management in the food industry. The book closes with a section on emerging technologies and innovations, which introduces readers to some of the latest technologies in the food industry, including advances in food processing, packaging, nanotechnology, etc. The topics have been divided into 25 different chapters, which offer a diverse blend of perspectives on innovations in the developing world. Ideally suited for students and researchers in the food sciences, the book is also an interesting read for industry experts in Food Science and Technology.

This book investigates several non-resonant inductive harvester architectures in order to find the magnet coil arrangement that generates the largest power output. The book is useful as a step-by-step guide for readers unfamiliar with this form of energy harvesting, but who want to build their own system models to calculate the magnet motion and, from that, the power generation available for body-worn sensor systems. The detailed description of system model development will greatly facilitate experimental work with the aim of fabricating the design with the highest predicted power output. Based on the simulated optimal geometry, fabricated devices achieve an average power output of up to 43 mW during walking, an amount of power that can supply modern low-power, body-worn systems. Experiments were also carried out in industrial applications with power outputs up to 15 mW. In sum, researchers and engineers will find a step-by-step introduction to inductive harvesting and its modeling aspects for achieving optimal harvester designs in an efficient manner.