The growing importance of glycobiology and carbohydrate chemistry in modern biotechnology and the pharmaceutical industry makes accurate carbohydrate analysis indispensable. This book provides the principles and protocols of various fundamental carbohydrate analysis methods. Choice of method is entirely dependent upon the type of material being investigated (biological samples, food products, etc.), and the level of structural detail required, i.e. sugar content, compositional analysis, linkages between the sugar components, or the total chemical structure of a given molecule. Full structural characterization of carbohydrate chains requires significant time, resources, and skill in several methods of analysis; no single technique can address all glycan analysis needs. This book summarizes several existing analytical techniques (both chemical and physical) in an introductory volume designed for the non-expert researcher or novice scientist. While background in carbohydrate chemistry is assumed, all information necessary to understanding the described techniques is addressed in the text.

Emerging Phytosynthesized Nanomaterials for Biomedical Applications provides readers with an increased understanding of the efficacy of phytochemicals obtained from plant extracts for the synthesis of nanomaterials, mechanism of formation, and the development of functional composites, all while still minimizing toxicity to humans and the environment. The book presents various novel biomedical applications of phytosynthesized nanomaterials for cancer, diabetes and cardiovascular treatment, drug delivery, antimicrobial agents, orthopedics, and biosensors, as well as pharmaceutical product development. This is an important reference source for biomaterials scientists and plant scientists looking to increase their understanding of how photosynthesized nanomaterials can be used in biomedical applications.

This book focuses on energy metabolism and brain functions related to Cortical Spreading Depression of Leao (CSD), an important issue in brain pathophysiology. The first part of the book offers a comprehensive overview of the history and early research on CSD, and then discusses the recent advances in the technology used to map and monitor brain mitochondrial NADH redox state and other physiological functions during CSD. The chapters explore the connection between CSD and mitochondrial function under hypoxia, Ischemia and various drugs treatment, and provide a resource to scientists researching the development of CSD during various brain pathophysiological conditions. This book is essential to scientists and students working in the field of bioenergetics of the brain and various organs and tissues in the body. The use of this technology is also crucial and applicable in the neuroscience field.

This innovative textbook brings together modern concepts in mathematical epidemiology, computational modeling, physics-based simulation, data science, and machine learning to understand one of the most significant problems of our current time, the outbreak dynamics and outbreak control of COVID-19. It teaches the relevant tools to model and simulate nonlinear dynamic systems in view of a global pandemic that is acutely relevant to human health. If you are a student, educator, basic scientist, or medical researcher in the natural or social sciences, or someone passionate about big data and human health: This book is for you! It serves as a textbook for undergraduates and graduate students, and a monograph for researchers and scientists. It can be used in the mathematical life sciences suitable for courses in applied mathematics, biomedical engineering, biostatistics, computer science, data science, epidemiology, health sciences, machine learning, mathematical biology, numerical methods, and probabilistic programming. This book is a personal reflection on the role of data-driven modeling during the COVID-19 pandemic, motivated by the curiosity to understand it.

Micro/Nano-robotics for Biomedical Applications features a system approach and incorporates modern methodologies in autonomous mobile robots for programmable and controllable micro/nano-robots aiming at biomedical applications. The book provides chapters of instructional materials in micro/nanorobotics for biomedical applications. The book features lecture units on micro/nanorobot components and techniques, including sensors, actuator, power supply, and micro/nano-fabrication and assembly. It also contains case studies on using micro/nano-robots in biomedical environments and in biomedicine, as well as a design example to conceptually develop a Vitamin-pill sized robot to enter human s gastrointestinal tract. Laboratory modules to teach robot navigation and cooperation methods suitable to biomedical applications will be also provided based on existing simulation and robot platforms."

Many novel technologies have been proposed in the attempt to improve existing food processing methods. Among emerging nonthermal technologies, high intensity pulsed electric fields (PEF) is appealing due to its short treatment times and reduced heating effects. This book presents information accumulated on PEF during the last 15 years by experienced microbiologists, biochemists, food technologists, and electrical and food engineers.

The book covers the integration of Internet of Things (IoT) and Artificial Intelligence (AI) to tackle applications in smart healthcare. The authors discuss efficient means to collect, monitor, control, optimize, model, and predict healthcare data using AI and IoT. The book presents the many advantages and improvements in the smart healthcare field, in which ubiquitous computing and traditional computational methods alone are often inadequate. AI techniques are presented that play a crucial role in dealing with large amounts of heterogeneous, multi-scale and multi-modal data coming from IoT infrastructures. The book is intended to cover how the fusion of IoT and AI allows the design of models, methodologies, algorithms, evaluation benchmarks, and tools can address challenging problems related to health informatics, healthcare, and wellbeing.

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.

This body of work represents the first volume of a book series covering the field of tissue engineering. Tissue engineering, which refers to a category of therapeutic or diagnostic products and processes which are based upon a combination of living cells and biomaterials, was defined as a field only a few years ago (1988). Tissue engineering is an inherently interdisciplinary field, combining bioengineering, life sciences and clinical sciences. The definition of this area of work as the field of tissue engineering brought together scientists from multiple backgrounds who already were working toward the achievement of similar goals. Why a book series exclusively devoted to tissue engineering? The field of tissue engineering is heterogeneous. The cells involved in tissue engineering can be autologous, allogeneic or xenogeneic. The biomaterials utilized can be either naturally occurring, synthetic or a combination of both. The appli cation of the technology can be either for acute or permanent purposes. An attempt to cover the field of tissue engineering in a single volume, with the degree of detail necessary for individuals with different scientific back grounds and disciplines, would be a difficult task to accomplish, particularly when this field is just emerging and changing rapidly. Therefore, addressing different technologies within the field of tissue engineering, in a comprehen sive manner, is the main mission of this series of volumes. A stellar group of scientists has been brought together to form the editorial board of the series."

This edited book explores the use of technology to enable us to visualise the life sciences in a more meaningful and engaging way. It will enable those interested in visualisation techniques to gain a better understanding of the applications that can be used in visualisation, imaging and analysis, education, engagement and training. The reader will also be able to learn about the use of visualisation techniques and technologies for the historical and forensic settings. The chapters presented in this volume cover such a diverse range of topics, with something for everyone. We present here chapters on 3D visualising novel stent grafts to aid treatment of aortic aneuryms; confocal microscopy constructed vascular models in patient education; 3D patient specific virtual reconstructions in surgery; virtual reality in upper limb rehabilitation in patients with multiple sclerosis and virtual clinical wards. In addition, we present chapters in artificial intelligence in ultrasound guided regional anaesthesia; carpal tunnel release visualisation techniques; visualising for embryology education and artificial intelligence data on bone mechanics. Finally we conclude with chapters on visualising patient communication in a general practice setting; digital facial depictions of people from the past; instructor made cadaveric videos, novel cadaveric techniques for enhancing visualisation of the human body and finally interactive educational videos and screencasts. This book explores the use of technologies from a range of fields to provide engaging and meaningful visual representations of the biomedical sciences. It is therefore an interesting read for researchers, developers and educators who want to learn how visualisation techniques can be used successfully for a variety of purposes, such as educating students or training staff, interacting with patients and biomedical procedures in general.

This book contains contributions from leading researchers in biomechanics, nanomechanics, tribology, contact mechanics, materials science and applications on various experimental techniques including atomic force microscopy (AFM) for studying soft, biomimetic and biological materials and objects. Biologists, physicists, researchers applying methods of contact mechanics and researchers testing materials using indentation techniques along with many other applied scientists will find this book a useful addition to their libraries. Moreover, several reviews in this book are written as introductions to several important and rather sophisticated research areas such as depth-sensing indentation, studying of biological cells by AFM probes, mechanics of adhesive contact and contact between viscoelastic (hereditary elastic) solids. The book containing new theoretical models, results of experimental studies and numerical simulations, along with reviews of above mentioned areas of contact mechanics in application to biological systems, would be beneficial for researchers in many areas of biology, medicine, engineering, mechanics and biomimetics.

This book describes the essential requirements for the realization of neuromorphic systems, where memristive devices play a key role. A comprehensive description to organic memristive devices, including working principles and models of the function, preparation methods, properties and different applications is presented. A comparative analysis of organic and inorganic systems is given. The author discusses all aspects of current research in organic memristive devices: fabrication techniques, properties, synapse mimicking circuits, and neuromorphic systems (including perceptrons), etc. Describes requirements of electronic circuits and systems to be considered as neuromorphic systems; Provides a single-source reference to the state-of-the-art in memristive devices as key elements of neuromorphic systems; Provides a comparative analysis of advantages and drawbacks between organic and inorganic devices and systems; Includes a systematic overview of organic memristive devices, including fabrication methods, properties, synapse mimicking circuits, and neuromorphic systems; Discusses a variety of unconventional applications, based on bio-inspired circuits and neuromorphic systems.

This book gathers the revised and selected contributions to the 6th Dementia Lab Conference, D-Lab 2022, held on September 20-22, 2022, in Leuven. It describes original and innovative research on how design can contribute to the quality of life of people with dementia, their loved ones, and caregivers. The papers highlight the value of participation within design, analyzing it at three levels: personal, product, and organizational. The presented ideas and findings address 'The Residue of Design' and go beyond the initial impact of the design itself by looking at what benefits design research brings for people with dementia. The papers cover topics such as the development of creative design methods to foster participation and engagement from people with dementia, evaluation studies or critical reflections that reveal the impact of products and the built environment in dementia care, and raising awareness and countering stigma in societal views on dementia.

This book summarizes the recent advancements for biomechanics of injury and prevention in mechanism, application and developing frontiers. Biomechanics plays an important role in achieving safety, health, comfort, and a high quality of life by revealing injury mechanism and providing prevention methods. The book covers injury and prevention to the entire human body, from head to toe, including injury and prevention in sports, traffic, accident, clinic and so on. In addition, bionics prevention method inspired by woodpecker is also introduced. The book provides the reader with not only the mechanism of injury but also the advanced injury diagnosis, treatment, and prevention devices based on biomechanics.

This book gathers revised and selected contributions to the 5th Dementia Lab Conference, D-Lab 2021, organized online on January 18-28, 2021, from the Emily Carr University of Art + Design, Vancouver, Canada. It describes original strategies in which design or creative methods have been shown to uncover, support and enhance the abilities of people living with dementia. Papers report on new ideas and findings relating to three main themes: engagement, empowerment and identity. They cover: ethics of inclusion and solutions for shifting the culture of care to be focused on both personal independence and reconnecting with the community; new ways of designing with people living with dementia; strategies for breaking negative stereotypes and preconceived opinions; and approaches to retaining personhood and dignity. Offering a timely source of information on new design and creative methods to a broad community of industrial, communication, interactive and inclusive designers, this book is also meant to address and inspire various stakeholders and organizations in dementia care.

This book facilitates both the theoretical background and applications of fuzzy, intuitionistic fuzzy and rough, fuzzy rough sets in the area of data science. This book provides various individual, soft computing, optimization and hybridization techniques of fuzzy and intuitionistic fuzzy sets with rough sets and their applications including data handling and that of type-2 fuzzy systems. Machine learning techniques are effectively implemented to solve a diversity of problems in pattern recognition, data mining and bioinformatics. To handle different nature of problems, including uncertainty, the book highlights the theory and recent developments on uncertainty, fuzzy systems, feature extraction, text categorization, multiscale modeling, soft computing, machine learning, deep learning, SMOTE, data handling, decision making, Diophantine fuzzy soft set, data envelopment analysis, centrally measures, social networks, Volterra–Fredholm integro-differential equation, Caputo fractional derivative, interval optimization, decision making, classification problems. This book is predominantly envisioned for researchers and students of data science, medical scientists and professional engineers.

Optical Coherence Tomography represents the ultimate noninvasive ocular imaging technique although being in the field for over two-decades. This book encompasses both medical and technical developments and recent achievements. Here, the authors cover the field of application from the anterior to the posterior ocular segments (Part I) and present a comprehensive review on the development of OCT. Important developments towards clinical applications are covered in Part II, ranging from the adaptive optics to the integration on a slit-lamp, and passing through new structural and functional information extraction from OCT data. The book is intended to be informative, coherent and comprehensive for both the medical and technical communities and aims at easing the communication between the two fields and bridging the gap between the two scientific communities.

Image synthesis across and within medical imaging modalities is an active area of research with broad applications in radiology and radiation oncology. This book covers the principles and methods of medical image synthesis, along with state-of-the-art research. First, various traditional non-learning-based, traditional machine-learning-based, and recent deep-learning-based medical image synthesis methods are reviewed. Second, specific applications of different inter- and intra-modality image synthesis tasks and of synthetic image-aided segmentation and registration are introduced and summarized, listing and highlighting the proposed methods, study designs, and reported performances with the related clinical applications of representative studies. Third, the clinical usages of medical image synthesis, such as treatment planning and image-guided adaptive radiotherapy, are discussed. Last, the limitations and current challenges of various medical synthesis applications are explored, along with future trends and potential solutions to solve these difficulties. The benefits of medical image synthesis have sparked growing interest in a number of advanced clinical applications, such as magnetic resonance imaging (MRI)-only radiation therapy treatment planning and positron emission tomography (PET)/MRI scanning. This book will be a comprehensive and exciting resource for undergraduates, graduates, researchers, and practitioners.

The Pumps and Pipes collaboration and conference brings together energy, medicine, and higher education in a unique shared effort, exploring ideas and research common to these important fields and stimulating discussion and sharing technologies that can further the reach and goals of each individual area. The Proceedings explores the common attributes of oil and gas technology, computational sciences and cardiovascular medicine and probe the areas where there is room to cross-fertilize and develop research and commercial programs.

Managing Medical Devices within a Regulatory Framework helps administrators, designers, manufacturers, clinical engineers, and biomedical support staff to navigate worldwide regulation, carefully consider the parameters for medical equipment patient safety, anticipate problems with equipment, and efficiently manage medical device acquisition budgets throughout the total product life cycle. This contributed book contains perspectives from industry professionals and academics providing a comprehensive look at health technology management (HTM) best practices for medical records management, interoperability between and among devices outside of healthcare, and the dynamics of implementation of new devices. Various chapters advise on how to achieve patient confidentiality compliance for medical devices and their software, discuss legal issues surrounding device use in the hospital environment of care, the impact of device failures on patient safety, methods to advance skillsets for HTM professionals, and resources to assess digital technology. The authors bring forth relevant challenges and demonstrate how management can foster increased clinical and non-clinical collaboration to enhance patient outcomes and the bottom line by translating the regulatory impact on operational requirements.

The surge in COVID-19 cases leading to hospitalizations around the world quickly depleted hospital resources and reserves, forcing physicians to make extremely difficult life-or-death decisions on ventilator allocation between patients. Leaders in academia and industry have developed numerous ventilator support systems using both consumer- and industry-grade hardware to sustain life and to provide intermediate respiratory relief for hospitalized patients. This book is the first of its kind to discuss the respiratory pathophysiology underlying COVID-19, explain ventilator mechanics, provide and evaluate a repository of innovative ventilator support devices conceived amid the pandemic, and explain both hardware and software components necessary to develop an inexpensive ventilator support device. This book serves both as a historical record of the collaborative and innovative response to the anticipated ventilator shortage during the COVID-19 pandemic and as a guide for physicians, engineers, and DIY'ers interested in developing inexpensive transitory ventilator support devices.

This book aims to highlight the latest achievements in the use of AI and multimodal artificial intelligence in biomedicine and healthcare. Multimodal AI is a relatively new concept in AI, in which different types of data (e.g. text, image, video, audio, and numerical data) are collected, integrated, and processed through a series of intelligence processing algorithms to improve performance. The edited volume contains selected papers presented at the 2022 Health Intelligence workshop and the associated Data Hackathon/Challenge, co-located with the Thirty-Sixth Association for the Advancement of Artificial Intelligence (AAAI) conference, and presents an overview of the issues, challenges, and potentials in the field, along with new research results. This book provides information for researchers, students, industry professionals, clinicians, and public health agencies interested in the applications of AI and Multimodal AI in public health and medicine.

This textbook explores the fundamental qualitative and quantitative aspects of human physiology. It approaches biological and physiological processes and phenomena from a quantitative perspective, revealing how physiological problems can be mathematically formulated starting from simple laws of physics. The book addresses a broad range of topics, including: the statics and dynamics of circulation; muscle and sarcomere force-length and force-velocity relations, together with their mechanisms and functional consequences; subdivisions and meaning of the heat produced by muscle; locomotion, statics and dynamics of respiration; diffusion of gases and acid base equilibrium; phonation; general functions of the kidney and of the different sections of the nephron; changes in clearance with a substance's plasmatic concentration; pH regulation and the kidney; Donnan's equilibrium and its consequences; and the Nernst equation. The book offers the ideal learning resource for students of human physiology courses in medicine and biomedicine, as well as biomedical engineering and biophysics graduate students. An elementary grasp of mathematics and physics is sufficient to understand the content.