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

This book tackles the problem of overshoot and undershoot in blood glucose levels caused by delay in the effects of carbohydrate consumption and insulin administration. The ideas presented here will be very important in maintaining the welfare of insulin-dependent diabetics and avoiding the damaging effects of unpredicted swings in blood glucose - accurate prediction enables the implementation of counter-measures. The glucose prediction algorithms described are also a key and critical ingredient of automated insulin delivery systems, the so-called "artificial pancreas". The authors address the topic of blood-glucose prediction from medical, scientific and technological points of view. Simulation studies are utilized for complementary analysis but the primary focus of this book is on real applications, using clinical data from diabetic subjects. The text details the current state of the art by surveying prediction algorithms, and then moves beyond it with the most recent advances in data-based modeling of glucose metabolism. The topic of performance evaluation is discussed and the relationship of clinical and technological needs and goals examined with regard to their implications for medical devices employing prediction algorithms. Practical and theoretical questions associated with such devices and their solutions are highlighted. This book shows researchers interested in biomedical device technology and control researchers working with predictive algorithms how incorporation of predictive algorithms into the next generation of portable glucose measurement can make treatment of diabetes safer and more efficient.

This volume provides updated, in-depth material on the application of intelligent optimization in biology and medicine. The aim of the book is to present solutions to the challenges and problems facing biology and medicine applications. This Volume comprises of 13 chapters, including an overview chapter, providing an up-to-date and state-of-the research on the application of intelligent optimization for bioinformatics applications, DNA based Steganography, a modified Particle Swarm Optimization Algorithm for Solving Capacitated Maximal Covering Location Problem in Healthcare Systems, Optimization Methods for Medical Image Super Resolution Reconstruction and breast cancer classification. Moreover, some chapters that describe several bio-inspired approaches in MEDLINE Text Mining, DNA-Binding Proteins and Classes, Optimized Tumor Breast Cancer Classification using Combining Random Subspace and Static Classifiers Selection Paradigms, and Dental Image Registration. The book will be a useful compendium for a broad range of readers-from students of undergraduate to postgraduate levels and also for researchers, professionals, etc.-who wish to enrich their knowledge on Intelligent Optimization in Biology and Medicine and applications with one single book.

This book highlights the recent advances in the field of microbial engineering and its application in human healthcare. It underscores the systemic and synthetic biology approaches for engineering microbes and discusses novel treatments for inflammatory bowel diseases based on engineered probiotics. The book also reviews the different options and methods for engineering microbes, ranging from recombinant DNA technology to designing microbes for targeting specific sites and delivering therapeutics. Further, it discusses genetically engineered microorganisms for smart diagnostics and describes current approaches in microbial gene editing using CRISPR-Cas9-based tools. Lastly, it summarizes the potential applications of human microbiome engineering in improving human health and explores potential strategies for scaling-up the production of engineered microbial strains for commercial purposes, as well as the challenges. Given its scope, this book is a valuable resource for students, researchers, academics and entrepreneurs interested in understanding microbial engineering for the production of commercial products.

Covers biological and health effects including oxidative stress, DNA damage, reproductive effects of mobile phones/antennas (2G, 3G, 4G), cordless phones and Wi-Fi Describes effects induced by real-life exposures by commercially available devices and antennas Illustrates biophysical and biochemical mechanisms aiming to fill the gap between recorded experimental and epidemiological findings, and their explanations Explore experimental and epidemiological facts, mechanisms of action, explanations and protection tips

This newly designed and enlarged edition offers an up-to-date presentation of biosensor development and modeling from both a chemical and a mathematical point of view. An entire new chapter in particular is dedicated to optimal design of biosensors. Two more new chapters discuss biosensors which utilize microbial cells and are based on carbon nanotubes respectively. All the other chapters have been revised and updated. The book contains unique modeling methods for amperometric, potentiometric and optical biosensors based mainly on biocatalysts . It examines processes that occur in the sensors' layers and at their interface, and it provides analytical and numerical methods to solve equations of conjugated enzymatic (chemical) and diffusion processes. The action of single enzyme as well as polyenzyme biosensors and biosensors based on chemically modified electrodes is studied. The modeling of biosensors that contain perforated membranes and multipart mass transport profiles is critically investigated. Furthermore, it is fully described how signals can be biochemically amplified, how cascades of enzymatic substrate conversion are triggered, and how signals are processed via a chemometric approach and artificial neuronal networks. The results of digital modeling are compared with both proximal analytical solutions and experimental data.

Nanomaterials for Photodynamic Therapy takes a unique approach to this area, with a key focus on the use of nanomaterials and nanocarriers for photodynamic therapy (PDT). The book introduces the history and mechanism of action behind PDT, covering the variety of sensitizers currently available. Subsequent chapters review existing and emerging nanomaterials for PDT, including hydrogel nanocomposites, fullerenes, quantum dots, polymeric micelles, and more. Challenges and translational aspects of PDT are also discussed, touching on the issues and hindrances of drug resistant cancers. The book bridges the gap between the physics and clinical aspects of PDT, offering a unique nanomaterials-focused perspective. This book will prove useful for materials scientists, biomedical engineers, electrical and optical engineers, and pharmaceutical scientists interested in cancer treatment.

Synthesis of Bionanomaterials for Biomedical Applications summarizes a range of procedures, including green synthesis of metal nanoparticles, metal oxide nanoparticles, and other types of nanoparticles while also exploring the appropriate use of these nanoparticles in various therapeutic applications such as anticancer, antibacterial, antifungal, drug delivery, and more. The book provides important information for materials scientists and pharmaceutical scientists on the synthesis of various nanoparticles using a variety of eco-friendly bionanomaterials. As concern has arisen regarding the environmental impact caused by some of nanomaterials, as well as their possible toxicity to cells, this book presents information on a new generation of eco-friendly materials. In addition, the green synthesis of nanoparticles shows how environmentally-friendly nanoparticles can be synthesized from different biological sources, such as microbes, fungi, algae and plants.

Comprehensive Metaheuristics: Algorithms and Applications presents the foundational underpinnings of metaheuristics and a broad scope of algorithms and real-world applications across a variety of research fields. The book starts with fundamentals, mathematical prerequisites, and conceptual approaches to provide readers with a solid foundation. After presenting multi-objective optimization, constrained optimization, and problem formation for metaheuristics, world-renowned authors give readers in-depth understanding of the full spectrum of algorithms and techniques. Scientists, researchers, academicians, and practitioners who are interested in optimizing a process or procedure to achieve a goal will benefit from the case studies of real-world applications from different domains. The book takes a much-needed holistic approach, putting the most widely used metaheuristic algorithms together with an in-depth treatise on multi-disciplinary applications of metaheuristics. Each algorithm is thoroughly analyzed to observe its behavior, providing a detailed tutorial on how to solve problems using metaheuristics. New case studies and research problem statements are also discussed, which will help researchers in their application of the concepts.

This book provides a state-of-the-art overview of the combined use of imaging modalities to obtain important functional and morphological information on intravascular disease and enhance disease detection. It discusses the integration of intravascular ultrasound (IVUS, intravascular optical coherence tomography (OCT), intravascular photoacoustic imaging (IVPA) and acoustic radiation force optical coherence elastography (ARF-OCE), and introduces the integration of multimodality imaging systems, such as IR and florescence. It includes the latest research advances and numerous imaging photos to offer readers insights into current intravascular applications. It is a valuable resource for students, scientists and physicians wanting to gain a deeper understanding of multimodality imaging tools.

This book helps transform the awareness of the anticipatory perspective into actionable methods for practitioners of medicine. It provides guidance for those who design new means and methods inspired by epigenetics, in particular to those who advance sustainable alternatives.

This book provides an interdisciplinary look at emerging trends in signal processing and biomedicine found at the intersection of healthcare, engineering, and computer science. Bringing together expanded versions of selected papers presented at the 2020 IEEE Signal Processing in Medicine and Biology Symposium (IEEE SPMB), it examines the vital role signal processing plays in enabling a new generation of technology based on big data and looks at applications ranging from medical electronics to data mining of electronic medical records. Topics covered include analysis of medical images, machine learning, biomedical nanosensors, wireless technologies, and instrumentation and electrical stimulation. Biomedical Sensing and Analysis: Signal Processing in Medicine and Biology presents tutorials and examples of successful applications, and will appeal to a wide range of professionals, researchers, and students interested in applications of signal processing, medicine, and biology. Presents an interdisciplinary look at research trends in signal processing and biomedicine; Promotes collaboration between healthcare practitioners and signal processing researchers; Includes tutorials and examples of successful applications.

The bioelectronic nose, the device which has a similar function to the human smell sensing system, can be realized by combining the olfactory cells or receptors with nanotechnology.In the last two decades, much has been learned about the smell sensing mechanism in biological systems. With knowledge about the biological olfactory system and the techniques for the expression of biological receptor proteins, we are able to utilize biological materials and systems to mimic the biological olfactory system. In addition to the advances in biological and biotechnological area, nanotechnology has progressed to a great degree. The bioelectronic nose is a good example of the integration of biotechnology and nanotechnology. This book describes basic biological sciences of the olfactory system, biotechnology for the production of olfactory biological elements, and nanotechnology for the development of various sensing devices. The purpose of this book is to provide the reader with a concept, basic sciences, fundamental technologies, applications, and perspectives of the bioelectronic nose."

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 new volume introduces the applications of microfluidic systems to facilitate biotechnological and biomedical processes. It provides an overview on cutting-edge technologies, summarizes traditional and modern fabrication methods and highlights recent advances regarding the application of lab-on-a-chip (LoC) systems for bioanalytical purposes. This book is ideal for research scientists and students interested at the cross-section between biotechnology, chemistry and chemical engineering.

This book covers the latest developments in tissue electrical conductivity and current density imaging, increasingly popular as well as challenging applications of MRI. These applications are enabled by the acquisition of high-quality MR phase images. This book provides a practical description of the MRI physics needed to understand and acquire phase images in MRI and the key details required to reconstruct them into conductivity, current density or electric field distributions. Comprehensive details are provided about the electrical properties of biological tissues, computational modeling considerations, experimental methods, construction of non-biological and biological phantoms and MRI pulse sequences. An inclusive review of image reconstruction algorithms, and their potential applications is provided for applications directed at determining current density or electric fields, such as in transcranial DC or AC stimulation techniques; as well as electrical conductivity reconstructions that may be of use in quantitative MRI applications used to detect cancer or other pathologies. This is an excellent book for undergraduate and graduate students beginning to explore phase, current density, and conductivity imaging in MRI, and will also be of great use to researchers interested in the area of MR-based electrical property imaging.

This thesis documents the development of a multifunctional nanoparticle system to enhance the chemotherapeutic efficiency of anti-cancer drugs, and contributes to research that helps decrease the side-effects in cancer patients while simultaneously increasing their survival rates. The work begins with an introduction to nanomedicine and cancer therapy, and contains a literature review on magnetic, gold, and core-shell nanoparticles. It also covers synthesis techniques, properties, various surface modifications, and the importance of magnetic and gold nanoparticles. The author dedicates a chapter to characterization techniques, experimental setup, and cell cultivation techniques for in-vitro studies. Further chapters describe the background, characterizations, and applications of multifunctional magnetite coated gold core-shell nanoparticles, and the doping of cobalt to magnetite and manganese to magnetite nanoparticles. The important highlight of this research was the control of the size, shape, composition, and surface chemistry of nanoparticles.

"Biomedical Engineering: Health Care Systems, Technology and Techniques" is an edited volume with contributions from world experts. It provides readers with unique contributions related to current research and future healthcare systems. Practitioners and researchers focused on computer science, bioinformatics, engineering and medicine will find this book a valuable reference.

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 book contains thirteen contributions from invited experts of international recognition addressing important issues in shape analysis in medical image analysis, including techniques for image segmentation, registration, modelling and classification and applications in biology, as well as in cardiac, brain, spine, chest, lung and clinical practice.

This volume treats topics such as for example, anatomic and functional shape representation and matching; shape-based medical image segmentation; shape registration; statistical shape analysis; shape deformation; shape-based abnormity detection; shape tracking and longitudinal shape analysis; machine learning for shape modeling and analysis; shape-based computer-aided-diagnosis; shape-based medical navigation; benchmark and validation of shape representation, analysis and modeling algorithms.

This work will be of interest to researchers, students and manufacturers in the fields of artificial intelligence, bioengineering, biomechanics, computational mechanics, computational vision, computer sciences, human motion, mathematics, medical imaging, medicine, pattern recognition and physics.

Increase in consumer awareness of nutritional habits has placed automatic food analysis in the spotlight in recent years. However, food-logging is cumbersome and requires sufficient knowledge of the food item consumed. Additionally, keeping track of every meal can become a tedious task. Accurately documenting dietary caloric intake is crucial to manage weight loss, but also presents challenges because most of the current methods for dietary assessment must rely on memory to recall foods eaten. Food understanding from digital media has become a challenge with important applications in many different domains. Substantial research has demonstrated that digital imaging accurately estimates dietary intake in many environments and it has many advantages over other methods. However, how to derive the food information effectively and efficiently remains a challenging and open research problem. The provided recommendations could be based on calorie counting, healthy food and specific nutritional composition. In addition, if we also consider a system able to log the food consumed by every individual along time, it could provide health-related recommendations in the long-term. Computer Vision specialists have developed new methods for automatic food intake monitoring and food logging. Fourth Industrial Revolution [4.0 IR] technologies such as deep learning and computer vision robotics are key for sustainable food understanding. The need for AI based technologies that allow tracking of physical activities and nutrition habits are rapidly increasing and automatic analysis of food images plays an important role. Computer vision and image processing offers truly impressive advances to various applications like food analytics and healthcare analytics and can aid patients in keeping track of their calorie count easily by automating the calorie counting process. It can inform the user about the number of calories, proteins, carbohydrates, and other nutrients provided by each meal. The information is provided in real-time and thus proves to be an efficient method of nutrition tracking and can be shared with the dietician over the internet, reducing healthcare costs. This is possible by a system made up of, IoT sensors, Cloud-Fog based servers and mobile applications. These systems can generate data or images which can be analyzed using machine learning algorithms. Image Based Computing for Food and Health Analytics covers the current status of food image analysis and presents computer vision and image processing based solutions to enhance and improve the accuracy of current measurements of dietary intake. Many solutions are presented to improve the accuracy of assessment by analyzing health images, data and food industry based images captured by mobile devices. Key technique innovations based on Artificial Intelligence and deep learning-based food image recognition algorithms are also discussed. This book examines the usage of 4.0 industrial revolution technologies such as computer vision and artificial intelligence in the field of healthcare and food industry, providing a comprehensive understanding of computer vision and intelligence methodologies which tackles the main challenges of  food and health processing. Additionally, the text focuses on the employing sustainable 4 IR technologies through which consumers can attain the necessary diet and nutrients and can actively monitor their health. In focusing specifically on the food industry and healthcare analytics, it serves as a single source for multidisciplinary information involving AI and vision techniques in the food and health sector. Current advances such as Industry 4.0 and Fog-Cloud based solutions are covered in full, offering readers a fully rounded view of these rapidly advancing health and food analysis systems. 

This book reports on cutting-edge digital technologies and their applications in physical activity and sport. Gathering selected chapters from the 1st International Conference on Technology in Physical Activity and Sport, held virtually on November 24-27, 2020, from Seville, Spain, it offers a practice-oriented and evidence-based perspective on how technologies can be used for evaluation and control of different parameter relating to sport, physical activity, and health. It covers how digital technologies can be applied for training and monitoring purposes, and for improving athlete's performance, how they influence sport habits in different populations, demonstrating their growing influence in sport businesses (such as fitness centers) and management, and provides new findings on the connection between physical activity and human health, suggesting some interesting directions for future studies. With a good balance of laboratory research and information relevant for professional trainers, this book will provide bioengineers, sport scientists, and physiotherapists with timely information and a multidisciplinary perspective on the use of digital technologies to improve fitness, wellbeing and health in different population groups.

This book addresses the application of infrared thermography in sports, examining the main benefits of this non-invasive, non-radiating and low-cost technique. Aspects covered include the detection of injuries in sports medicine, the assessment of sports performance due to the existing link between physical fitness and thermoregulation and the analysis of heat transfer for sports garments and sports equipment. Although infrared thermography is broadly considered to be a fast and easy-to-use tool, the ability to deliver accurate and repeatable measurements is an important consideration. Furthermore, it is important to be familiar with the latest sports studies published on this technique to understand its potential and limitations. Accordingly, this book establishes a vital link between laboratory tests and the sports field.