This book is focused on marine based biomedical carriers for delivery of therapeutics. Marine biomaterials and bio-based carriers show wide applications in pharmaceutical as well as biomedical fields for delivery of small and large molecules. Biomaterial-based composites, scaffolds or matrix systems are promising systems for controlled and prolonged release of drug in target site and control the premature release of drugs or bioactive compounds. This book discusses the targeted delivery of drugs and therapeutic applications. It also describes the use of marine biopolymers in cancer therapy. Different chapters describe the tissue engineering techniques to develop these carriers. The marine biomaterial-based systems are widely used for tissue engineering, and biomedical imaging. This book is meant for industry experts, students and researchers in the area of pharmaceutical sciences, biomedical engineering and material science and pharmacology.

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 covers the most important topics in the field of personalized orthopedics. It starts with the 3D geometry of the bones, focusing on the problem of reverse engineering of the bones. It also shows the application of a 3D geometric model of bone for the design of personalized implants and prostheses. This book covers the application of additive technologies in personalized orthopedics as well as prediction, simulation and optimization in personalized orthopedics. Its content provides the necessary knowledge for the transition from classical to personalized orthopedics. The authors present an original method for reverse bone engineering-the Method of Anatomical Features (MAF). This method is unique as it enables the reconstruction of the original geometry and topology of the bone, even when only data on its part are available. The application of this method is shown on the examples of human long bones, mandible and hip bone reconstruction. This book contains a review of several real cases of personalized implants. It gives several examples of prostheses for the design of which a 3D model of bones was used, as well as other patient data on the basis of which personalized prostheses were designed.

This book brings together some of the most impactful researchers in the field of Genetic Programming (GP), each one working on unique and interesting intersections of theoretical development and practical applications of this evolutionary-based machine learning paradigm. Topics of particular interest for this year´s book include powerful modeling techniques through GP-based symbolic regression, novel selection mechanisms that help guide the evolutionary process, modular approaches to GP, and applications in cybersecurity, biomedicine and program synthesis, as well as papers by practitioner of GP that focus on usability and real-world results. In summary, readers will get a glimpse of the current state of the art in GP research.

This book provides students and researchers with a resource that includes the current application of the multi-criteria decision theory in a variety of fields, including the environment, health care, engineering, and architecture. There are many critical parameters (criteria) that can directly or indirectly affect the consequences of various decisions. The application of the multi-criteria decision theory focusses mainly on the use of computational methods which include multiple criteria and orders of preference for the evaluation and the selection of the best option among many alternatives based on the desired outcome. The theory of multi-criteria decision making (MCDM) is an approach that can be extremely useful for students, managers, engineers of manufacturing companies, etc.

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 first book on high-speed atomic force microscopy (HS-AFM) is intended for students and biologists who want to use HS-AFM in their research. It provides straightforward explanations of the principle and techniques of AFM and HS-AFM. Numerous examples of HS-AFM studies on proteins demonstrate how to apply this new form of microscopy to specific biological problems. Several precautions for successful imaging and the preparation of cantilever tips and substrate surfaces will greatly benefit first-time users of HS-AFM. In turn, the instrumentation techniques detailed in Chapter 4 can be skipped, but will be useful for engineers and scientists who want to develop the next generation of high-speed scanning probe microscopes for biology. The book is intended to facilitate the first-time use of this new technique, and to inspire students and researchers to tackle their own specific biological problems by directly observing dynamic events occurring in the nanoscopic world. Microscopy in biology has recently entered a new era with the advent of high-speed atomic force microscopy (HS-AFM). Unlike optical microscopy, electron microscopy, and conventional slow AFM, it allows us to directly observe biological molecules in physiological environments. Molecular "movies" created using HS-AFM can directly reveal how molecules behave and operate, without the need for subsequent complex analyses and roundabout interpretations. It also allows us to directly monitor morphological change in live cells, and dynamic molecular events occurring on the surfaces of living bacteria and intracellular organelles. As HS-AFM instruments were recently commercialized, in the near future HS-AFM is expected to become a common tool in biology, and will enhance and accelerate our understanding of biological phenomena.

This book provides an overview of the use of nanoparticles, carbon-nanotubes, liposomes, and nanopatterned flat surfaces for specific biomedical applications. This book explains the chemical and physical properties of the surface of these materials that allow their use in diagnosis, biosensing and bioimaging devices, drug delivery systems, and bone substitute implants. The toxicology of these particles is also discussed in the light of a new field referred to as nanotoxicology in this book. This book will be useful for engineers, researchers and industry professionals primarily in the fields of polymer science and engineering, materials science, surface science, nanocatalysis, biotechnology and biomedicine.

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.

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.

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.

This book describes the whole field of endoprosthetics, with all its potential, for practicing clinicians. The following aspects are dealt with in particular: indications and contraindications, surgical procedures (pros and cons), pain therapy, post-operative problems, infections, risks, necessary medication, length of medication, and post-operative patient care.

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 highlights contemporary state of research in multidisciplinary areas in computer science, computer engineering, chemical engineering, mechanical engineering, physics, biomedical sciences, life sciences, medicine, and health care. The accepted submissions to the 7th IRC Conference on Science, Engineering and Technology (IRC-SET 2021) that were presented on August 7, 2021, are published in this conference proceedings. The papers presented here were shortlisted after extensive rounds of rigorous reviews by a panel of esteemed individuals who are pioneers and experts in their respective domains.

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.