This book explores a sampling of the most powerful and enterprising efforts to achieve biotechnological goals by means of various interdisciplinary approaches. From the fabrication of extremely small units to achieve specific objectives through nano-bio-technology, to devices with artificial intelligence, gene therapy for cerebrovascular anomalies, biodegradable plastics, the use of phyto-stem cells in cosmetology, CarT cell immune therapy, targeted therapies for cancer, 3D printed bones developed by the University of Wollongong in Australia, the sickle cell chip developed by IIT Bombay, and innovative sustainable energy solutions, the book includes a colorful spectrum of reviews on current and future biotech products. Gathering contributions by an international team of researchers, this book offers its audience, and particularly younger readers, revealing information on current and upcoming smart technologies.

This volume presents a timely recognition, warning and mapping of the fast approaching wave, or "bio-tsunami", of global socio-technical transformation, built by a much wider spectrum of converging powers, including biotechnology, new agriculture, novel foods, health, quality of life, environment, energy, sustainability, education, knowledge management, and design of smart applications. The book contains eight sections corresponding to different clusters of bioeconomic and socio-technical change, as identified by the editors' "Scanning the Horizon" foresight research; it also offers an integrated view of the future bioeconomy landscape though the convergence of several technologies that affect everyday life. The clusters offer methodologies for forecasting the future bioeconomy, and how these predictions can affect target-setting and the orientation of policies and actions to manage cultural and societal change, and achieve sustainable development in less developed areas. The book will be of interest to researchers, producers, logistics experts, policy makers, regulators, business and financial institutions, and biotechnologists (e.g. geneticists, food experts, etc.).

This book describes the multitude of interactions between plant, soil, and micro-organisms. It emphasizes on how growth and development in plants, starting from seed germination, is heavily influenced by the soil type. It describes the interactions established by plants with soil and inhabitant microbial community. The chapters describe how plants selectively promote certain microorganisms in the rhizospheric ecozone to derive multifarious benefits such as nutrient acquisition and protection from diseases. The diversity of these rhizospheric microbes and their interactions with plants largely depend on plant genotype, soils attributes, and several abiotic and biotic factors. Most of the studies concerned with plant-microbe interaction are focused on temperate regions, even though the tropical ecosystems are more diverse and need more attention. Therefore, it is crucial to understand how soil type and climatic conditions influence the plant-soil-microbes interaction in the tropics. Considering the significance of the subject, the present volume is designed to cover the most relevant aspects of rhizospheric microbial interactions in tropical ecosystems. Chapters include aspects related to the diversity of rhizospheric microbes, as well as modern tools and techniques to assess the rhizospheric microbiomes and their functional roles. The book also covers applications of rhizospheric microbes and evaluation of prospects improving agricultural practice and productivity through the use of microbiome technologies. This book will be extremely interesting to microbiologists, plant biologists, and ecologists.

Biomedical Signal Analysis for Connected Healthcare provides rigorous coverage on several generations of techniques, including time domain approaches for event detection, spectral analysis for interpretation of clinical events of interest, time-varying signal processing for understanding dynamical aspects of complex biomedical systems, the application of machine learning principles in enhanced clinical decision-making, the application of sparse techniques and compressive sensing in providing low-power applications that are essential for wearable designs, the emerging paradigms of the Internet of Things, and connected healthcare.

This book presents a compilation of state-of-the-art work on biomedical and cyber-physical systems in connection with the Internet of Things, and successfully blends theory and practice. The book covers the studies belonging to Biomedical and Cyber-physical System, so it is a unique effort by the research experts, who are divulging in the domain deeply. The book is very easy for the audience, who are doing study in the Biomedical and Cyber-physical System; it helps to read some real-time scenarios from where the reader in general gets many sparking ideas to convert it into the research problems in their studies. This book is of use to solve down the problems of graduate, postgraduate, doctoral industry executives, who are involving in the cutting-edge work of Internet of Things with Biomedical or Cyber-physical System, with the help of real-time solutions, given in the formation of chapters by subject's experts.The key uses of this book are in the area of Internet of Things in connection with Cyber-physical System as well as Biomedical domain.

This book examines the role of nanobiosensors in point-of-care applications for personalized healthcare and management. It begins by discussing various biomaterials that are used for the development of biosensors in medical diagnostics, and reviews advances in their fabrication and the miniaturization of biosensor devices for lab-on-chip analysis. In turn, it explores the rapidly evolving applications of nanomaterials in the context of biomaterial diagnostics. The book also explores the immense potential of biosensors in medical diagnostics, where they are increasingly being used to detect a wide range of biomolecules and biomarkers. In closing, it discusses the current challenges and outlines the future role of nanobiosensors in the development of next-generation point-of-care applications.

This book highlights the complexity of spinel nanoferrites, their synthesis, physio-chemical properties and prospective applications in the area of advanced electronics, microwave devices, biotechnology as well as biomedical sciences. It presents an overview of spinel nanoferrites: synthesis, properties and applications for a wide audience: from beginners and graduate-level students up to advanced specialists in both academic and industrial sectors. There are 15 chapters organized into four main sections. The first section of the book introduces the readers to spinel ferrites and their applications in advanced electronics industry including microwave devices, whereas the second section mainly focus on the synthesis strategy and their physio-chemical properties. The last sections of the book highlight the importance of this class of nanomaterials in the field of biotechnology and biomedical sector with a special chapter on water purification.

This book is the output of Anthropological Survey of India's National Project "DNA Polymorphism of Contemporary Indian Population" conducted during 2000 to 2018. The book compiles the independent and collaborative work of 49 scientific personnel. Genomics facilitate the study of genetic constitution and diversity at individual and population levels. Genomic diversity explains susceptibility, predisposition and prolongation of diseases; personalized medicine and longevity; prehistoric demographic events, such as population bottleneck, expansion, admixture and natural selection. This book highlights the heterogeneous, genetically diverse population of India. It shows how the central geographic location of India, played a crucial role in historic and pre-historic human migrations, and in peopling different continents of the world. The book describes the massive task undertaken by AnSI to unearth genomic diversity of India populations, with the use of Uni-parental DNA markers mtDNA (mitochondrial DNA) and Y -chromosome in 75 communities. The book talks about the 61 maternal and 35 paternal lineages identified through these studies. It brings forth interesting, hitherto unknown findings such as shared mutations between certain communities. This volume is a milestone in scientific research to understand biological diversity of Indian people at genomic level. It addresses the basic priority to identify different genes underlying various inborn genetic defects and diseases specific to Indian populations. This would be highly interesting to population geneticists, historians, as well as anthropologists.

Information Physics: Physics-Information and Quantum Analogies for Complex Modeling presents a new theory of complex systems that uses analogy across various aspects of physics, including electronics, magnetic circuits and quantum mechanics. The book explains the quantum approach to system theory that can be understood as an extension of classical system models. The main idea is that in many complex systems there are incomplete pieces of overlapping information that must be strung together to find the most consistent model. This incomplete information can be understood as a set of non-exclusive observer results. Because they are non-exclusive, each observer registers different pictures of reality.

Demystifying Big Data, Machine Learning, and Deep Learning for Healthcare Analytics presents the changing world of data utilization, especially in clinical healthcare. Various techniques, methodologies, and algorithms are presented in this book to organize data in a structured manner that will assist physicians in the care of patients and help biomedical engineers and computer scientists understand the impact of these techniques on healthcare analytics. The book is divided into two parts: Part 1 covers big data aspects such as healthcare decision support systems and analytics-related topics. Part 2 focuses on the current frameworks and applications of deep learning and machine learning, and provides an outlook on future directions of research and development. The entire book takes a case study approach, providing a wealth of real-world case studies in the application chapters to act as a foundational reference for biomedical engineers, computer scientists, healthcare researchers, and clinicians.

Biomedical Engineering Tools for Management of Patients with COVID-19 presents biomedical engineering tools under research (and in development) that can be used for the management of COVID-19 patients, along with BME tools in the global environment that curtail and prevent the spread of the virus. BME tools covered in the book include new disinfectants and sterilization equipment, testing devices for rapid and accurate COVID-19 diagnosis, Internet of Things applications in COVID-19 hospitals, analytics, Data Science and statistical modeling applied to COVID-19 tracking, Smart City instruments and applications, and more. Later sections discuss smart tools in telemedicine and e-health. Biomedical engineering tools can provide engineers, computer scientists, clinicians and other policymakers with solutions for managing patient treatment, applying data analysis techniques, and applying tools to help the general population curtail spread of the virus.

This book reviews the latest technological developments of bioengineering approaches in cell and tissue research. It is meant to have life and spirit, and to become a pioneer in technology and sciences, especially the life science. The chapters are written by excellent scientists on advanced, frontier technology and address scientific questions that need considerable thinking in terms of engineering. The aims are to provide the readers, including students, faculty, and all scientists working in academia and industry, new information on bioengineering in cell and tissue research to enhance their understanding and innovation.

Plastic is one of the widely used polymers around the globe since its discovery. It is highly impossible to think the ease of life without the aid of plastic. Every year billion tons of plastic waste gets accumulated in the environment and leads to death of both marine and terrestrial animals. Plastic is very durable and needs around 1000 years to degrade under the natural environment. The present book illustrates the importance and significance of the bioremediation to tackle the problem of plastic waste. Previously, we have reported elite rhizobacterial isolates (Lysinibacillus fusiformis strain VASB14/WL and Bacillus cereus strain VASB1/TS) of Avicennia marina Vierh (Forsk.) from the West Coast of India with the potential to degrade plastic (polythene). The present book attempted to address the bioremediation scenario of plastic waste (including micro plastic) using microbes with bacteria in particular. Various strategies used to tackle with the plastic waste were highlighted with case studies of plastic waste management, including in vitro, in situ and ex situ with a special reference to biodegradation technology. After the biodegradation of the plastic using microbes, the generated plastic (polythene) degradation products (PE-DPs) were also documented using GC-MS technique followed by their deleterious effect on both animal and plant systems. The book also enhances the awareness of the plastic-free society and also suggests some alternative materials to be used instead of plastic. Lastly, the book suggests/recommends the strategies to be followed by the lawmakers in the government organizations/non-government organizations/social organizations to frame the regulations and guidelines to implement at mass level to reduce the generation of plastic waste.

This book coherently presents advances in design principles, processes, and methods in healthcare product design. It captures the implications of technological advances on designing healthcare products especially when market and societal needs pull each other in opposite directions. The contents focus on innovative design thinking processes and methods in developing healthcare products, applications of digital technologies in healthcare product design, amalgamation of artificial intelligence and design thinking for healthcare product design and quality, sustainability, and regulatory aspects in the design process. This book is a useful reference for those in the industry and academia.

Thermal Ablation Therapy: Theory and Simulation includes detailed theoretical and technical concepts of thermal ablation therapy in different body organs. Concepts of ablation technology based on different thermal ablation methods are introduced, along with changes in the tissues' mechanical properties due to thermal denaturation. The book emphasizes the mathematical and engineering concepts of RF and MW energy propagation through tissues and where high heating rates produced by MW systems can overcome the heat-sink effects from nearby vessels. The design and tuning of the MW antennas to deliver energy efficiently to specific organ systems such as the liver or lung is also covered. Other sections cover the computational modeling of radiofrequency ablation and microwave ablation procedures for developing and implementing new efficient ablation in clinical systems, numerical simulations for different scenarios of different organs with different size using RF and MW ablation systems with different antennas'/probes design and configurations, and numerical techniques for temperature profile in tissues.

Artificial Protein and Peptide Nanofibers: Design, Fabrication, Characterization, and Applications provides comprehensive knowledge of the preparation, modification and applications of protein and peptide nanofibers. The book reviews the synthesis and strategies necessary to create protein and peptide nanofibers, such as self-assembly (including supramolecular assembly), electrospinning, template synthesis, and enzymatic synthesis. Then, the key chemical modification and molecular design methods are highlighted that can be utilized to improve the bio-functions of these synthetic fibers. Finally, fabrication methods for key applications, such as sensing, drug delivery, imaging, tissue engineering and electronic devices are reviewed. This book will be an ideal resource for those working in materials science, polymer science, chemical engineering, nanotechnology and biomedicine.

This open access book establishes a dialog among the medical and intelligent system domains for igniting transition toward a sustainable and cost-effective healthcare. The Person-Centered Care (PCC) positions a person in the center of a healthcare system, instead of defining a patient as a set of diagnoses and treatment episodes. The PCC-based conceptual background triggers enhanced application of Artificial Intelligence, as it dissolves the limits of processing traditional medical data records, clinical tests and surveys. Enhanced knowledge for diagnosing, treatment and rehabilitation is captured and utilized by inclusion of data sources characterizing personal lifestyle, and health literacy, and it involves insights derived from smart ambience and wearables data, community networks, and the caregivers' feedback. The book discusses intelligent systems and their applications for healthcare data analysis, decision making and process design tasks. The measurement systems and efficiency evaluation models analyze ability of intelligent healthcare system to monitor person health and improving quality of life.

This book covers the nutritional and nutraceutical profiles of a wide range of popularly consumed vegetables and nuts. The first half of the book focuses on popular vegetables, and describes how higher vegetable consumption reduces the risk of diseases ranging from diabetes to osteoporosis, diseases of the gastrointestinal tract, cardiovascular diseases, autoimmune diseases and cancer. The book also includes an interesting section on the antioxidant potential of mushrooms. In turn, the second half discusses the nutritional value of various nuts. Nuts are nutrient-dense foods with complex matrices rich in unsaturated fats, high-quality protein, fiber, minerals, tocopherols, phytosterols and phenolics. The respective chapters illustrate how the consumption of nuts could ward off chronic diseases like hypertension, cancer, inflammation, oxidative stress, high blood pressure, coronary heart disease etc. In order to effectively promote vegetable and nut consumption, it is necessary to know and understand the nutritional and nutraceutical profiles of vegetables & nuts. Given its scope, the book will be of interest to students, researchers, food scientists, olericulturists, dietitians and agricultural scientists alike. Those working in the vegetable and nut processing industries, horticultural departments and other agricultural departments will also find the comprehensive information relevant to their work.

The book provides an overview of bio-manufacturing techniques for the production, purification, characterization and modification of chito/chitin oligosaccharides and their monomers. In addition, it explores potential applications in the food, biomedical and agricultural industry on the basis of their bioactivities and biomaterial properties. Lastly, it shares a range of cutting-edge insights to help solve problems in industrial processes and promote further academic investigation. Given its scope, it offers a valuable resource for researchers and graduate students in the fields of bioengineering, food science, biochemistry, etc.

Personalized Computational Hemodynamics: Models, Methods, and Applications for Vascular Surgery and Antitumor Therapy offers practices and advances surrounding the multiscale modeling of hemodynamics and their personalization with conventional clinical data. Focusing on three physiological disciplines, readers will learn how to derive a suitable mathematical model and personalize its parameters to account for pathologies and diseases. Written by leading experts, this book mirrors the top trends in mathematical modeling with clinical applications. In addition, the book features the major results of the "Research group in simulation of blood flow and vascular pathologies" at the Institute of Numerical Mathematics of the Russian Academy of Sciences. Two important features distinguish this book from other monographs on numerical methods for biomedical applications. First, the variety of medical disciplines targeted by the mathematical modeling and computer simulations, including cardiology, vascular neurology and oncology. Second, for all mathematical models, the authors consider extensions and parameter tuning that account for vascular pathologies.

This book discusses fundamentally new biomedical imaging methods, such as holography, holographic and resonant interferometry, and speckle optics. It focuses on the development of holographic interference microscopy and its use in the study of phase objects such as nerve and muscle fibers subjected to the influence of laser radiation, magnetic fields, and hyperbaric conditions. The book shows how the myelin sheath and even the axon itself exhibit waveguide properties, enabling a fresh new look at the mechanisms of information transmission in the human body. The book presents theoretically and experimentally tested holographic and speckle-optical methods and devices used for investigating complex, diffusely scattering surfaces such as skin and muscle tissue. Additionally, it gives broad discussion of the authors' own original fundamental and applied research dedicated to helping physicians introduce new contact-less methods of diagnosis and treatment of diseases of the cardiovascular and neuromuscular systems into medical practice. The book is aimed at a broad spectrum of scientific specialists in the fields of speckle optics, holography, laser physics, morphology and cytochemistry, as well as medical professionals such as physiologists, neuropathologists, neurosurgeons, cardiologists and dentists.

Machine Learning and the Internet of Medical Things in Healthcare discusses the applications and challenges of machine learning for healthcare applications. The book provides a platform for presenting machine learning-enabled healthcare techniques and offers a mathematical and conceptual background of the latest technology. It describes machine learning techniques along with the emerging platform of the Internet of Medical Things used by practitioners and researchers worldwide. The book includes deep feed forward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology. It also presents the concepts of the Internet of Things, the set of technologies that develops traditional devices into smart devices. Finally, the book offers research perspectives, covering the convergence of machine learning and IoT. It also presents the application of these technologies in the development of healthcare frameworks.

Structural Biomaterials: Properties, Characteristics, and Selection serves as a single point of reference to digest current research and develop a deeper understanding in the field of biomaterials engineering. This book uses a materials-focused approach, allowing the reader to quickly access specific, detailed information on biomaterials characterization and selection. Relevant to a range of readers, this book provides holistic coverage of the broad categories of structural biomaterials currently available and used in medical applications, highlighting the property requirements for structural biomaterials, their biocompatibility performance and their safety regulation in key categories such as metals, ceramics and polymers. The materials science perspective of this text ensures the content is accessible even to those without an extensive background in applied medicine, positioning this text not just for students, but as an overview and reference for researchers, scientists and engineers entering the field from related materials science disciplines.

Handbook of Computational Intelligence in Biomedical Engineering and Healthcare helps readers analyze and conduct advanced research in specialty healthcare applications surrounding oncology, genomics and genetic data, ontologies construction, bio-memetic systems, biomedical electronics, protein structure prediction, and biomedical data analysis. The book provides the reader with a comprehensive guide to advanced computational intelligence, spanning deep learning, fuzzy logic, connectionist systems, evolutionary computation, cellular automata, self-organizing systems, soft computing, and hybrid intelligent systems in biomedical and healthcare applications. Sections focus on important biomedical engineering applications, including biosensors, enzyme immobilization techniques, immuno-assays, and nanomaterials for biosensors and other biomedical techniques. Other sections cover gene-based solutions and applications through computational intelligence techniques and the impact of nonlinear/unstructured data on experimental analysis.

The book Intelligent Healthcare: Infrastructure, Algorithms, and Management (R) cover a wide range of research topics on innovative intelligent healthcare solutions and advancements with the latest research developments. Data analytics are relevant for healthcare to meet many technical challenges and issues that need to be addressed to realize this potential. The advanced healthcare systems have to be upgraded with new capabilities such as data analytics, machine learning, intelligent decision making, and more professional services. The Internet of Things helps to design and develop intelligent healthcare solutions assisted by security, data analytics, and machine learning.This book will provide federated learning, Data-driven infrastructure design, analytical approaches, and technological solutions with case studies for smart healthcare. This book aims to attract works on multidisciplinary research spanning across computer science and engineering, environmental studies, services, urban planning and development, Healthcare, social sciences, and industrial engineering on technologies, case studies, novel approaches, and visionary ideas related to data-driven innovative learning and computing solutions and big medical data-powered applications to cope with the real-world challenges for building smart healthcare sectors. Main Features: O Immersive technologies in healthcare O Internet of medical things O Federated learning algorithms O Explainable AI in Pervasive Healthcare O New management principles using biomedical data O Secured healthcare management systems This book aims to set up a better understanding of data scientists, researchers, and technologists under innovative digital health. The reader can find out existing research challenges, current market trends, and low-cost technologies to smoothly address the digital health issue.