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Enzyme Biotechnology for Environmental Sustainability discusses recent applications of enzyme biotechnology in various industrial sectors and state-of-the-art information on novel microbial enzyme technologies for a sustainable environment. The book describes in detail the latest developments and modern methods in microbial enzyme biotechnology for wider application in bioremediation, cleaner technology for industries and waste management, green chemistry and pharmaceutical biotechnology, sustainable textiles, food production and biodegradation, and other industries. The chapters cover topics such as genetic engineering, protein engineering, nanotechnological advances of microbial enzymes, computational tools for engineering enzymes, and health risk assessment of enzymes in different sectors. With contributors from an array of experts in the field, Enzyme Biotechnology for Environmental Sustainability is an informative reference for researchers, biotechnologists, microbiologists, environmental scientists, graduate and post-graduate students working in the area of enzyme technology and their biomedical, environmental, and industrial applications. - Includes new-methods and up-to-date information on modern methods with respect to its application in pharmaceuticals, textiles, food fermentation, and many other related fields - Provides in-depth information about the recent applications of enzyme biotechnology in different industrial sectors - Focuses on the rapid developments and biotechnological advances in microbial enzymology to enhance industrial and environmental sustainability

Advances in Applied Microbiology, Volume 127 continues the comprehensive reach of this widely read and authoritative review source in microbiology where users will find invaluable references and information on a variety of areas relating to the topics of microbiology. - Contains contributions from leading authorities in the field - Informs and updates on the latest developments in the field of microbiology - Includes discussions on the role of specific molecules in pathogen life stages, interactions, and much more

Computational Intelligence and Modelling Techniques for Disease Detection in Mammogram Images comprehensively examines the wide range of AI-based mammogram analysis methods for medical applications. Beginning with an introductory overview of mammogram data analysis, the book covers the current technologies such as ultrasound, molecular breast imaging (MBI), magnetic resonance (MR), and Positron Emission mammography (PEM), as well as the recent advancements in 3D breast tomosynthesis and 4D mammogram. Deep learning models are presented in each chapter to show how they can assist in the efficient processing of breast images. The book also discusses hybrid intelligence approaches for early-stage detection and the use of machine learning classifiers for cancer detection, staging and density assessment in order to develop a proper treatment plan. This book will not only aid computer scientists and medical practitioners in developing a real-time AI based mammogram analysis system, but also addresses the issues and challenges with the current processing methods which are not conducive for real-time applications. - Presents novel ideas for AI based mammogram data analysis - Discusses the roles deep learning and machine learning techniques play in efficient processing of mammogram images and in the accurate defining of different types of breast cancer - Features dozens of real-world case studies from contributors across the globe

Neuroimaging is witnessing a massive increase in the quality and quantity of data being acquired. It is widely recognized that effective interpretation and extraction of information from such data requires quantitative modeling. However, modeling comes in many diverse forms, with different research communities tackling different brain systems, different spatial and temporal scales, and different aspects of brain structure and function. Computational and Network Modeling of Neuroimaging Data provides an authoritative and comprehensive overview of the many diverse modeling approaches that have been fruitfully applied to neuroimaging data. This book gives an accessible foundation to the field of computational and network modeling of neuroimaging data and is suitable for graduate students, academic researchers, and industry practitioners who are interested in adopting or applying model-based approaches in neuroimaging. - Provides an authoritative and comprehensive overview of major modeling approaches to neuroimaging data - Written by experts, the book's chapters use a common structure to introduce, motivate, and describe a specific modeling approach used in neuroimaging - Gives insights into the similarities and differences across different modeling approaches - Analyses details of outstanding research challenges in the field

The need for sustainable advancement in agriculture practices continues to press. Achieving optimum yields of crops has traditionally meant farmers continuously using large amounts of chemical fertilizers or pesticides but the indiscriminate use of these pesticides has adversely affected the environment, non- target microorganisms, soil textures and human health. Sustainable Agricultural Practices, a volume in the Plant and Soil Microbiome series, presents foundational information into the successful utilization of different biocontrol agents (especially bacteria and fungi actinomycetes) under field conditions which can help relieve the pressure of overexploitation of synthetic pesticides in agriculture. As many of the microorganisms including nitrogen fixing bacteria and cyanobacteria can be used as bio inoculants, they offer opportunities to not only to enhance the crop productivity but also for maintaining the natural properties of agricultural soils. The volume explores the multifaceted benefits derived from varieties of microorganisms existing in different components of ecosystem, many of which could potentially be employed as probiotics for improved human and livestock health. Researchers seeking to expand their understanding of related fields, and students seeking foundational concept coverage will find this volume valuable. - Includes summaries, case studies, and applications to provide real-world insights - Provides accessible, informative illustrations of current trends in microbial biotechnology - Presents data through tables and figures for effective communication - Suggests future research avenues in the field of microbial biotechnology for sustainable development

Novel Formulations and Future Trends, Volume Three in the Recent and Future Trends in Pharmaceutics series, explores aspects of pharmaceutics with an original approach focused on technology, novelties and future trends. It discusses the most important developments in drug delivery, including important and exciting areas such as mucosal, implantable, transdermal, gastroretentive, vaccine and targeted drug delivery systems. The field of pharmaceutics is highly dynamic and rapidly expanding day-by-day so it demands a variety of amplified efforts for designing and developing pharmaceutical processes and formulation strategies. This is an essential reference for researchers in academia and industry as well as advanced graduate students. New technologies are also explored including 3D printing and computational pharmaceutics. - Explores the most recent technologies in drug delivery in detail - Contains contributions from the leading experts from academia, research, industry and regulatory agencies - Includes high quality illustrations, flow charts and tables for easy understanding of concepts - Discusses practical examples and research case studies

Intelligent Computing Techniques in Biomedical Imaging provides comprehensive and state-of-the-art applications of Computational Intelligence techniques used in biomedical image analysis for disease detection and diagnosis. The book offers readers a stepwise approach from fundamental to advanced techniques using real-life medical examples and tutorials. The editors have divided the book into five sections, from prerequisites to case studies.Section I presents the prerequisites, where the reader will find fundamental concepts needed for advanced topics covered later in this book. This primarily includes a thorough introduction to Artificial Intelligence, probability theory and statistical learning. The second section covers Computational Intelligence methods for medical image acquisition and pre-processing for biomedical images. In this section, readers will find AI applied to conventional and advanced biomedical imaging modalities such as X-rays, CT scan, MRI, Mammography, Ultrasound, MR Spectroscopy, Positron Emission Tomography (PET), Ultrasound Elastography, Optical Coherence Tomography (OCT), Functional MRI, Hybrid Modalities, as well as pre-processing topics such as medical image enhancement, segmentation, and compression. Section III covers description and representation of medical images. Here the reader will find various categories of features and their relevance in different medical imaging tasks. This section also discusses feature selection techniques based on filter method, wrapper method, embedded method, and more.The fourth section covers Computational Intelligence techniques used for medical image classification, including Artificial Neural Networks, Support Vector Machines, Decision Trees, Nearest Neighbor Classifiers, Random Forest, clustering, extreme learning, Convolution Neural Networks (CNN), and Recurrent Neural Networks. This section also includes a discussion of computer aided diagnosis and performance evaluation in radiology.The final section of Intelligent Computing Techniques in Biomedical Imaging provides readers with a wealth of real-world Case Studies for Computational Intelligence techniques in applications such as neuro-developmental disorders, brain tumor detection, breast cancer detection, bone fracture detection, pulmonary imaging, thyroid disorders, imaging technologies in dentistry, diagnosis of ocular diseases, cardiovascular imaging, and multimodal imaging. - Introduces Fourier theory and signal analysis tailored to applications in optical communications devices and systems - Provides strong theoretical background, making it a ready resource for researchers and advanced students in optical communication and optical signal processing - Starts from basic theory and then develops descriptions of useful applications

Advances in Applied Microbiology, Volume 126 continues the comprehensive reach of this widely read and authoritative review source in microbiology where users will find invaluable references and information on a variety of areas relating to the topics of microbiology. - Contains contributions from leading authorities in the field - Informs and updates on the latest developments in the field of microbiology - Includes discussions on the role of specific molecules in pathogen life stages, interactions, and much more

Artificial Intelligence and Machine Learning for Women's Health Issues: Challenges, Impact, and Solutions discusses the applications, challenges, and solutions that machine learning can bring to women's health challenges. This book illustrates advanced, innovative techniques, frameworks, concepts, and methodologies of machine learning, which enhance the future healthcare system. This book's primary focus is on women's health issues and machine learning's role in providing solutions to these challenges, providing novel ideas for feasible implementation. It also provides an early-stage analysis for early diagnosis of women's health issues. - Provides fundamental concepts and analysis of machine learning algorithms used to aid in the diagnosis of women's health issues - Guides researchers to specific ideas, tools, and practices most applicable to product/service development, innovation problems, and opportunities - Provides hands-on chapters that describe frameworks, applications, best practices, and case studies of future directions of applied machine learning in women's healthcare

Applied Biotechnology Strategies to Combat Plant Abiotic Stress investigates the causal molecular factors underlying the respective mechanisms orchestrated by plants to help alleviate abiotic stress in which Although knowledge of abiotic stresses in crop plants and high throughput tools and biotechnologies is avaiable, in this book, a systematic effort has been made for integrating omics interventions across major sorts of abiotic stresses with special emphasis to major food crops infused with detailed mechanistic understanding, which would furthermore help contribute in dissecting the interdisciplinary areas of omics-driven plant abiotic stress biology in a much better manner. In 32 chapters Applied Biotechnology Strategies to Combat Plant Abiotic Stress focuses on the integration of multi-OMICS biotechnologies in deciphering molecular intricacies of plant abiotic stress namely drought, salt, cold, heat, heavy metals, in major C3 and C4 food crops. Together with this, the book provides updated knowledge of common and unique set of molecular intricacies playing a vital role in coping up severe abiotic stresses in plants deploying multi-OMICS approaches This book is a valuable resource for early researchers, senior academicians, and scientists in the field of biotechnology, biochemistry, molecular biology, researchers in agriculture and, crops for human foods, and all those who wish to broaden their knowledge in the allied field. - Describes biotechnological strategies to combat plant abiotic stress - Covers the latest evidence based multipronged approaches in understanding omics perspective of stress tolerance - Focuses on the integration of multi-OMICS technologies in deciphering molecular intricacies of plant abiotic stress

Fundamentals of Recombinant Protein Production, Purification and Characterization is organized into nine chapters in a logical fashion that cover an introduction to recombinant proteins and expression in different host expression systems, extraction, purification and analysis of proteins. This important reference features protocols, along with the advantages and disadvantage of each expression hosts and characterization technique (presented in tabular format) and offers detailed coverage of all aspects of protein production and processing (upstream and downstream processing) in one place. Finally, the book ends with different characterization techniques. Production of recombinant proteins for biotechnological and therapeutic applications at a large scale is an essential need of mankind. With the huge application potential of therapeutic and industrial proteins, there has been increasing demand for effective and efficient bioprocessing strategies. Recent progress around recombinant DNA technologies and bioprocessing strategies has paved the way for efficient production of recombinant proteins. Important factors such as insolubility and cost of production need to be considered for large scale production of these recombinant proteins. - Includes step-by-step reproducible protocols while also providing updated information on the rationale and latest developments in expression systems - Can also be used as a handbook for protein expression and purification as expression systems and chromatographic methods are explained in detail - Consists of notes on troubleshooting from the eminent researchers in the field - Provides comprehensive information on protein production, purification and characterization in a single volume - Describes different purification methods for comparatively difficult to obtain proteins - Brings the topics of recombinant protein expression, purification and characterization together, thereby making it the first resource on how to solve problems with respect to upstream and downstream processing of heterologous proteins

Physico-Chemical Aspects of Dosage Forms and Biopharmaceutics: Recent and Future Trends in Pharmaceutics, Volume Two explores aspects of pharmaceutics with an original approach that focuses on technology, novelties and future trends. The field of pharmaceutics is highly dynamic and rapidly expanding day-by-day, so it demands a variety of amplified efforts for designing and developing pharmaceutical processes and formulation strategies. Readers will find practical information for conducting research in pharmaceutics that is ideal for researchers in academia and industry as well as advanced graduate students in pharmaceutics. In addition, the book discusses the most recent developments in biopharmaceutics, including important and exciting areas such as solubility of drugs, pharmaceutical granulation, routes of drug administration, drug absorption, bioavailability and bioequivalence. - Provides extensive details on the most recent developments in biopharmaceutics - Contains contributions from leading experts from academia, research, industry and regulatory agencies - Includes high quality illustrations, flow charts and tables for easier understanding of the concepts - Discusses practical examples and research case studies

Quantum Sensing at the Interface of Nanotechnology Integrated Microfluidics provides broad multidisciplinary coverage of innovative quantum sensing technologies suitable to industries in the engineering, biomedical, healthcare and environmental sectors. Sections discuss emerging quantum sensing and with an introduction to microfluidic devices, smart sensors, the role of nanotechnology, smart sensing, and the role of quantum technology and artificial intelligence for nano-enabled microfluidics. Sensing technologies and nano-enabled microfluidics and their biomedical and industrial applications are explored. This will be a useful resource for those in research and industry interested in biotechnology, nanotechnology, sensing technology and their applications in multidisciplinary fields. - Provides an introduction to the types of microfluidic devices, smart sensors, and the role of nanotechnology - Covers smart sensing for multidisciplinary sectors - Explores the challenges and prospects of nano-microfluidics systems

Deep Learning Applications in Translational Bioinformatics, a new volume in the Advances in Ubiquitous Sensing Application for Healthcare series, offers a detailed overview of basic bioinformatics, deep learning, various applications of deep learning in translational bioinformatics including deep learning ensembles, deep learning in protein classification, detection of various diseases, prediction of antiviral peptides, identification of antibiotic resistance, computer aided drug design and drug formulation. This new volume helps researchers working in the field of machine learning and bioinformatics to foster future research and development in ensemble deep learning and inspire new bioinformatics applications that cannot be attained by using traditional machine learning models. - Addresses the practical application of deep learning algorithms to a wide range of bioinformatics challenges - Presents integrative and multidisciplinary approaches to ubiquitous healthcare - Includes case studies to illustrate the concepts discussed

Signal Processing Driven Machine Learning Techniques for Cardiovascular Data Processing features recent advances in machine learning coupled with new signal processing-based methods for cardiovascular data analysis. Topics in this book include machine learning methods such as supervised learning, unsupervised learning, semi-supervised learning, and meta-learning combined with different signal processing techniques such as multivariate data analysis, time-frequency analysis, multiscale analysis, and feature extraction techniques for the detection of cardiovascular diseases, heart valve disorders, hypertension, and activity monitoring using ECG, PPG, and PCG signals.In addition, this book also includes the applications of digital signal processing (time-frequency analysis, multiscale decomposition, feature extraction, non-linear analysis, and transform domain methods), machine learning and deep learning (convolutional neural network (CNN), recurrent neural network (RNN), transformer and attention-based models, etc.) techniques for the analysis of cardiac signals. The interpretable machine learning and deep learning models combined with signal processing for cardiovascular data analysis are also covered. - Provides details regarding the application of various signal processing and machine learning-based methods for cardiovascular signal analysis - Covers methodologies as well as experimental results and studies - Helps readers understand the use of different cardiac signals such as ECG, PCG, and PPG for the automated detection of heart ailments and other related biomedical applications

Human Organs-on-a-Chip Technology focuses on the technology advancement from'organ-on-a-chip to'multi organs-on-a-chip to the newest stage of'human organs-on-a-chip. Chapters investigate the design, simulation studies, device development and application of microfluidic systems. They also offer expert perspectives on the development of an alternative test system in the biological evaluation of drugs, cosmetics, chemicals, medical devices and many others. Lastly, the book addresses issues related to the development of microfluidic devices and alternative test systems in biological and biomedical research. - Explores organs-on-a-chip technology, from the basics, to advanced developments and existing challenges and recent research trends and applications - Reviews every aspect of microfluidic devices, including biological evaluation and targeted delivery - Includes the latest information on regulatory updates

Biocontrol Agents for Improved Agriculture, a volume in the Plant and Soil Microbiome series, presents both an advanced and current description of the important role of plant and soil microbiome in plant disease management. Including the latest biotechnological interventions for harnessing plant and soil microbiome and their potential in controlling plant pathogen/ disease, as well as the commercialization of biocontrol products and exploration of microbial derived bioactive compounds, this book provides an important reference on the challenges of biocontrol products. Sections explore the bacterial and fungal species successfully applied as plant and soil inoculant for the effective management of plant diseases. As these microbial biocontrol agents not only suppress the plant disease, but also enhance the growth or agricultural production in sustainable ways, the book focuses on the molecular aspect of plant- pathogen interactions and their biocontrol strategies via the use of plant and soil microbiome. This book is an important reference for those seeking sustainable, safe options for protecting against microbial agricultural loss and environmental damage. - Presents emerging microbial biocontrol strategies for addressing plant pathogens - Covers production and commercialization of biocontrol products - Includes accessible, informative illustrations of current trends in microbial biotechnology

CRISPRized Horticultural Crops: Genome Modified Plants and Microbes in Food and Agriculture summarizes applications of CRISPR/Cas systems and its advanced variants e.g., CRISPR/Cpf1, base editing and prime editing, for precise editing of horticultural crops. The book discusses vector transformations methods, epi-genome, deep learning, synthetic biology, and precision breeding for improving yield and quality related attributes in horticultural crops. With coverage of the relevant technologies and their applications, the book also includes bioinformatics and large-scale databases and their potential application in fruits, vegetables and ornamental plants and sections on regulatory concerns related to CRISPR edited crops. Horticultural crops, including fruit, vegetable and ornamental plants are an important component of agriculture production systems and play an important role in sustaining human life. - Reviews CRISPR for editing horticultural crops - Discusses vector transformation methods, epigenome, deep learning, synthetic biology and precision breeding - Includes bioinformatics and large-scale databases - Contributes engineering approaches for crop improvement programs

Microneedles in Drug Delivery and Therapeutics details the design, characterization and applications of this novel drug delivery system.Microneedles offer several advantages over traditional oral and parenteral approaches, due to their ability to be fabricated and altered in shape, size and material type, matched to specific treatment needs.This book covers the materials selection, design and fabrication approaches, and clinical translation of microneedles for a range of therapeutic applications, including: cancer therapy, gene and vaccine delivery, wound healing and more. Microneedles in Drug Delivery and Therapeutics is a forward-thinking resource for those working in the development of materials and devices for novel drug delivery. - Introduces the reader to skin anatomy and materials development in regard to microneedles as smart carriers for drug delivery, offering an interdisciplinary approach that will appeal to a wide audience - Covers a broad range of therapeutic applications, from ocular diseases and photodynamic therapy to sensing and cancer treatment - Provides an overview of the materials, design, fabrication, clinical translation, commercial aspects of microneedle development, and their applications in drug delivery

Artificial Intelligence in health care has become one of the best assisting techniques for clinicians in proper diagnosis and surgery. In biomedical applications, artificial intelligence algorithms are explored for bio-signals such as electrocardiogram (ECG/ EKG), electrooculogram (EOG), electromyogram (EMG), electroencephalogram (EEG), blood pressure, heart rate, nerve conduction, etc., and for bio-imaging modalities, such as Computed Tomography (CT), Cone-Beam Computed Tomography (CBCT), MRI (Magnetic Resonance Imaging), etc. Advancements in Artificial intelligence and big data has increased the development of innovative medical devices in health care applications. Recent Advances in Artificial Intelligence: Medical Applications provides an overview of artificial intelligence in biomedical applications including both bio-signals and bio-imaging modalities. The chapters contain a mathematical formulation of algorithms and their applications in biomedical field including case studies. Biomedical engineers, advanced students, and researchers can use this book to apply their knowledge in artificial intelligence-based processes to biological signals, implement mathematical models and advanced algorithms, as well as develop AI-based medical devices. - Covers the recent advancements of artificial intelligence in healthcare, including case studies on how this technology can be used - Provides an understanding of the design of experiments to validate the developed algorithms - Presents an understanding of the versatile application of artificial intelligence in bio-signal and bio-image processing techniques

Artificial Intelligence and Image Processing in Medical Imaging deals with the applications of processing medical images with a view of improving the quality of the data in order to facilitate better decision- making. The book covers the basics of medical imaging and the fundamentals of image processing. It explains spatial and frequency domain applications of image processing, introduces image compression techniques and their applications, and covers image segmentation techniques and their applications. The book includes object detection and classification applications and provides an overall background to statistical analysis in biomedical systems. The role of Machine Learning, including Neural Networks, Deep Learning, and the implications of the expansion of artificial intelligence is also covered. With contributions from prominent researchers worldwide, this book provides up-to-date and comprehensive coverage of AI applications in image processing where readers will find the latest information with clear examples and illustrations. - Provides the latest comprehensive coverage of the developments of AI techniques and the principles of medical imaging - Covers all aspects of medical imaging, from acquisition, the use of hardware and software, image analysis and implementation of AI in problem solving - Provides examples of medical imaging and how they're processed, including segmentation, classification, and detection

Self-powered Sensors: A Path to Wearable Electronics features recent developments in chemical, photonic, pharmaceutical, microbiological, biomimetic, and bio-inspired approaches for MEMS/NEMS and medicinal self-powered sensors. Unconventional nanomaterial sensors driven by self-sufficient energy are given a contemporary review, with a focus on the categorization of energy sources and comparisons of research involving self-powered solar, piezoresistive, triboelectric, and thermodynamic technologies. This book also focuses on the different techniques, materials, comparisons of fabrication of self-powered sensors as well as thermoelectric self-powered sensors and its implantable applications. - Presents state-of-the-art technologies and advancements in the design and application of self-powered sensors - Examines the advantages and disadvantages of self-powered nanomaterial sensors in terms of energy collecting techniques and sensing applications - Reviews the incorporation of self-operating devices and novel uses for neuromorphic sensors

Biomechatronics is rapidly becoming one of the most influential and innovative research directions defining the 21st century. The second edition Biomechatronics provides a complete and up-to-date account of this advanced subject at the university textbook level. This new edition introduces two new chapters – Animals Biomechatronics and Plants Biomechatronics – highlighting the importance of the rapidly growing world population and associated challenges with food production. Each chapter is co-authored by top experts led by Professor Marko B. Popovic, researcher and educator at the forefront of advancements in this fascinating field. Starting with an introduction to the historical background of Biomechatronics, this book covers recent breakthroughs in artificial organs and tissues, prosthetic limbs, neural interfaces, orthotic systems, wearable systems for physical augmentation, physical therapy and rehabilitation, robotic surgery, natural and synthetic actuators, sensors, and control systems. A number of practice prompts and solutions are provided at the end of the book. The second edition of Biomechatronics is a result of dedicated work of a team of more than 30 contributors from all across the globe including top researchers and educators in the United States (Popovic, Lamkin-Kennard, Herr, Sinyukov, Troy, Goodworth, Johnson, Kaipa, Onal, Bowers, Djuric, Fischer, Ji, Jovanovic, Luo, Padir, Tetreault), Japan (Tashiro, Iraminda, Ohta, Terasawa), Sweden (Boyraz), Turkey (Arslan, Karabulut, Ortes), Germany (Beckerle and Wiliwacher), New Zealand (Liarokapis), Switzerland (Dobrev), and Serbia (Lazarevic). - The only biomechatronics textbook written, especially for students at a university level - Ideal for students and researchers in the biomechatronics, biomechanics, robotics, and biomedical engineering fields - Provides updated overview of state-of-the-art science and technology of modern day biomechatronics, introduced by the leading experts in this fascinating field - This edition introduces two new chapters: Animals Biomechatronics and Plants Biomechatronics - Expanded coverage of topics such as Prosthetic Limbs, Powered Orthotics, Direct Neural Interface, Bio-inspired Robotics, Robotic Surgery, Actuators, Control and Physical Intelligence

Joint Replacement in the Human Body provides a comprehensive exploration of artificial joint designs. The book's primary focus is to introduce readers to the diverse landscape of artificial joint technologies while offering insights into their historical development. This book is divided into three sections, each addressing specific aspects of joint replacements. The first section delves into artificial joints of the lower limb, including the hip, knee, and ankle. In the subsequent section, the book explores upper limb replacements, covering joints such as the shoulder, elbow, wrist, finger, and thumb.The third section tackles broader themes like biotribology, regulatory aspects of joint replacements, examines noteworthy case studies like metal-on-metal hips, and addresses joint replacements not easily categorized in the previous sections, such as spinal total disc replacements. This book offers a critical assessment of the diverse and evolving design concepts currently in use, ranging from established metal-on-polymer joints to innovative biomimetic solutions. This book is designed to swiftly equip readers with a deep understanding of contemporary joint replacements and the immediate and long-term challenges they present. - Covers all the joints that are replaced in the human body, including the hip all the way to the toes - Provides a thorough examination of vastly diverse implanted design concepts, ranging from the established metal-on-polymer approach to innovative biomimetic designs - Describes joint biomechanics and their corresponding replacements, followed by a description of future challenges appropriate to each joint and current debates

A Practical Guide to Planning, Writing, and Reviewing Medical Device Clinical Evaluation Reports guides readers through clinical data evaluation of medical devices, in compliance with the EU MDR requirements and other similar regulatory requirements throughout the world. This book brings together knowledge learned as the author constructed hundreds of CERs and taught thousands of learners on how to conduct clinical data evaluations. This book will support training for clinical engineers, clinical evaluation scientists, and experts reviewing medical device CERs, and will help individual writers, teams and companies to develop stronger, more robust CERs.Identifies and explains data analysis for clinical evaluation of medical devicesTeaches readers how to understand and evaluate medical device performance and safety in the context of new regulationsProvides analysis of new clinical evaluation criteria in the context of medical device design as well as in-hospital deployment and servicing

Cutting edge technology-based drug delivery systems have been rapidly growing and are being applied to various sections of biomedicine. The current scenario of global burden due to infectious disorders can take advantage of nanoparticulate based carriers to advance the cure efficiency. Nanostructured Drug Delivery Systems in Infectious Disease Treatment explores a broad range of promising approaches for the treatment of infectious diseases using the latest advancements in nanomedical technologies. The book opens with introduction about infectious diseases and its global burden. There is also specific discussion and assessment of the global impact of viruses with an emphasis on COVID-19, Zika, and Ebola. Subsequent chapters provide detailed information about various novel nanotherapeutic strategies used for delivering drugs for the treatment of various types of viral, bacterial, and fungal disorders. Nanostructured Drug Delivery Systems in Infectious Disease Treatment is a valuable resource for graduates, researchers, industry professionals, and anyone working to tackle the challenges of delivering drugs in a more targeted and efficient manner for the treatment of infectious diseases. - Focuses on the application of different nanotechnology-based drug delivery systems - Offers information on how to design and develop the nanotechnology-based drug delivery systems and devices for the treatment of infectious disorders - Explores challenges and regulatory concerns of nanomedicine in infectious disorders

Therapeutic Monoclonal Antibodies: From Lot Release to Stability Testing is a highly topical resource on a subject of interest for scientists and researchers working on monoclonal antibodies'characterization, release testing, stability testing and similarity assessments of monoclonal antibodies in the biopharmaceutical industry. Monoclonal antibodies (mAbs) are large, extremely complex and dynamic biomolecules, so it can be challenging to develop well-characterized therapeutic antibodies that meet regulatory expectations that are also in-line with commercialized standards for different drug markets. Lot release testing and understanding the stability of the mAb over a period of time, and in different environmental conditions, is an indispensable aspect of mAb physicochemical characterization. This book covers the process, including extensive analysis that starts with quantifying the purity attribute to glycan profiling and identifying the mAb primary structure. The book has a primary purpose of focusing on both Lot release testing and stability testing of monoclonal antibodies (subjects not covered in any great detail in other books). - Discusses, in detail, the Lot release methods for both drug substance and drug product, along with their importance in process sample analysis - Gives specific attention to general characteristics tests, such as pH determination, osmolality, sub-visible particle count, appearance and visible tests, and regulatory/pharmacopeial guidelines - Includes different kinds of stability testing (real time, accelerated and stressed) and their importance and determinations on product shelf life - Presents regulatory guidelines on ICH Q2R1, ICHQ6B and ICHQ5C, which are discussed along with analytical method validation, monoclonal antibodies physicochemical characterization and stability testing - Provides different characterization methods and validation and development case studies of monoclonal antibodies, including biosimilars and innovators