Nanomedicines for Breast Cancer Theranostics addresses the translational aspects and clinical perspectives of breast cancer nanomedicine from a multidisciplinary perspective. The book summarizes research efforts at the preclinical and clinical stage of nanostructures and nanomedicine for dealing with the important challenge of nanomedicine translation in breast cancer theranostics. This book is an important resource for those working in both academia and industry, focusing on hot topics in biomaterials, biomedical engineering, drug delivery and oncology.

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.

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.

This book covers multi-scale biomechanics for oncology, ranging from cells and tissues to whole organ. Topics covered include, but not limited to, biomaterials in mechano-oncology, non-invasive imaging techniques, mechanical models of cell migration, cancer cell mechanics, and platelet-based drug delivery for cancer applications. This is an ideal book for graduate students, biomedical engineers, and researchers in the field of mechanobiology and oncology. This book also: Describes how mechanical properties of cancer cells, the extracellular matrix, tumor microenvironment and immuno-editing, and fluid flow dynamics contribute to tumor progression and the metastatic process Provides the latest research on non-invasive imaging, including traction force microscopy and brillouin confocal microscopy Includes insight into NCIs' role in supporting biomechanics in oncology research Details how biomaterials in mechano-oncology can be used as a means to tune materials to study cancer

Biomedical signals provide unprecedented insight into abnormal or anomalous neurological conditions. The computer-aided diagnosis (CAD) system plays a key role in detecting neurological abnormalities and improving diagnosis and treatment consistency in medicine. This book covers different aspects of biomedical signals-based systems used in the automatic detection/identification of neurological disorders. Several biomedical signals are introduced and analyzed, including electroencephalogram (EEG), electrocardiogram (ECG), heart rate (HR), magnetoencephalogram (MEG), and electromyogram (EMG). It explains the role of the CAD system in processing biomedical signals and the application to neurological disorder diagnosis. The book provides the basics of biomedical signal processing, optimization methods, and machine learning/deep learning techniques used in designing CAD systems for neurological disorders.

This book takes the notions of adaptivity and learning from the realm of engineering into the realm of biology and natural processes. It introduces a Hebbian-LMS algorithm, an integration of unsupervised Hebbian learning and supervised LMS learning in neural networks, as a mathematical representation of a general theory for synaptic learning in the brain, and adaptation and functional control of homeostasis in living systems. Written in a language that is able to address students and scientists with different backgrounds, this book accompanies readers on a unique journey through various homeostatic processes in living organisms, such as body temperature control and synaptic plasticity, explaining how the Hebbian-LMS algorithm can help understand them, and suggesting some open questions for future research. It also analyses cell signalling pathways from an unusual perspective, where hormones and hormone receptors are shown to be regulated via the principles of the Hebbian-LMS algorithm. It further discusses addiction and pain, and various kinds of mood disorders alike, showing how they can be modelled with the Hebbian-LMS algorithm. For the first time, the Hebbian-LMS algorithm, which has been derived from a combination of Hebbian theory from the neuroscience field and the LMS algorithm from the engineering field of adaptive signal processing, becomes a potent model for understanding how biological regulation works. Thus, this book is breaking new ground in neuroscience by providing scientists with a general theory for how nature does control synaptic learning. It then goes beyond that, showing that the same principles apply to hormone-mediated regulation of physiological processes. In turn, the book tackles in more depth the concept of learning. It covers computer simulations and strategies for training neural networks with the Hebbian-LMS algorithm, demonstrating that the resulting algorithms are able to identify relationships between unknown input patterns. It shows how this can translate in useful ideas to understand human memory and design cognitive structures. All in all, this book offers an absolutely, unique, inspiring reading for biologists, physiologists, and engineers, paving the way for future studies on what we could call the nature's secret learning algorithm.

This volume of the series Cardiac and Vascular Biology presents the most relevant aspects of vascular mechanobiology along with many more facets of this fascinating, timely and clinically highly relevant field. Mechanotransduction, mechanosensing, fluid shear stress, hameodynamics and cell fate, are just a few topics to name. All important aspects of vascular mechanobiology in health and disease are reviewed by some of the top experts in the field. This volume, together with a second title on cardiac mechanobiology featured in this series, will be of high relevance to scientists and clinical researchers in the area of vascular biology, cardiology and biomedical engineering.

This volume contains the papers of the 7th International Workshop on Medical and Service Robots (MESROB) which was held in Basel, Switzerland, on June 7-9, 2021. The main topics include: design of medical devices, kinematics and dynamics for medical robotics, exoskeletons and prostheses, anthropomorphic hands, therapeutic robots and rehabilitation, cognitive robots, humanoid and service robots, assistive robots and elderly assistance, surgical robots, human-robot interfaces, haptic devices, medical treatments, medical lasers, and surgical planning and navigation. The contributions, which were selected by means of a rigorous international peer-review process, highlight numerous exciting ideas that will spur novel research directions and foster multidisciplinary collaboration among different specialists, demonstrating that medical and service robotics will drive the technological and societal change in the coming decades.

Octacalcium Phosphate Biomaterials: Past, Present and Future is a comprehensive study of octacalcium phosphate (OCP), a next generation biomaterial for bone regeneration. By focusing both on fundamental research and the use of OCP as a scaffold material, this book explores its potential to deliver improved clinical results. Early chapters in the book discuss OCP's effects on bone cell activity, cellular interactions and their role in bone formation, repair and replacement. Later chapters cover topics such as drug delivery, synthesis methodologies and future analysis techniques. This will be an invaluable and unique resource for researchers, clinicians, students and industrialists in the area of orthopedics and dentistry. OCP is known to be a pre-cursor to hydroxyapatite in the human biomineralization process that forms bone and tooth enamel. Research studies that have emerged in recent years suggest OCP's tremendous potential as a bioactive material.

This book describes the current state of knowledge in the field of multi-scale ECM mechanics and mechanobiology with a focus on experimental and modelling studies in biomechanical characterization, advanced optical microscopy and imaging, as well as computational modeling. This book also discusses the scale dependency of ECM mechanics, translation of mechanical forces from tissue to cellular level, and advances and challenges in improving our understanding of cellular mechanotransduction in the context of living tissues and organisms.

Dendrimers are repeatedly branched and roughly spherical large molecules. They can be used in various medical applications, such as anticancer polymeric nanomedicines and nanocarriers, gene carriers and vectors in gene delivery, contrast agents for molecular imaging and vaccines against infectious diseases and cancer. The highly branched, multivalent nature and molecular architecture of dendrimers make them ideal tools for a variety of tissue engineering applications. This book describes different categories of dendrimers, their biomedical and physico-chemical applications as well as convergent and divergent syntheses, click chemistry and ligation strategies. It is a rich source of information for researchers in biochemistry and pharmacology working on drug development as well as for organic chemists who are engaged in synthesis of dendrimers.

This book is the second of two volumes that offer a comprehensive, up-to-date account of current knowledge regarding high-density lipoprotein (HDL), the changes that occur in HDL under different conditions, the clinical applications of HDL, and means of enhancing HDL functionality. In this volume, the focus is on the improvement of HDL, enhancement of its functionality, and the use of HDL for therapeutic purposes. In the first section, up-to-date information is provided on such topics as the tumor regression-promoting and antidiabetic activities of reconstituted HDL containing V156K apolipoprotein A-I, the enhancement of HDL effects by high doses of vitamin C, the benefits derived from incorporation of growth hormones 1 and 2 into rHDL, and the biological functions of omega-3 linolenic acid in rHDL. The enhancement of HDL functionality by policosanol and the resultant benefits are thoroughly examined in a separate section. Readers will also find the latest information on clinical applications of HDL. Here, specific topics include the enhancement of adenoviral gene delivery and the delivery of rapamycin. In documenting the latest knowledge in this field, this volume will be of interest to both researchers and clinicians.

This book gathers selected studies on the industrial applications of glycoside hydrolases (GHs), presenting an updated classification of these enzymes, and discussing their structure, mechanisms, and various approaches to improve their catalytic efficiency. Further, it explains the various industrial applications of glycoside hydrolases in food, effluent treatment, biofuel production, and the paper and pulp industries. Lastly, the book provides a comparative analysis of glycoside hydrolases and discusses the role of metagenomics in the discovery of industrially important enzymes. As such it is a thought-provoking, instructive and informative resource for biochemists, enzymologists, molecular biologists and bioprocess technologists.

This book introduces key fundamentals of microarray bioprinting, including the required chip platforms and associated instruments/devices, experimental protocols for cell printing and biochemical- and cell-based assays, and several example applications. Various bioprinting approaches that allow for the rapid testing of hundreds of different cell culture conditions in combinations on a single chip are discussed in detail. Also covered is high-content, 3D cell-based imaging assays of tissue functions on miniaturized tissue constructs for high-throughput, predictive screening of drug efficacy and toxicity. This is an ideal book for graduate and postgraduate students in the field of biomedical engineering as well as scientists in the pharmaceutical industry. This book also: Broadens readers' understanding of the principles of microarray bioprinting, chip platforms and associated instruments/devices, and surface chemistry for micropatterning of cells on the chip platform Covers the latest developments in printing cells in hydrogels and methods of gelation as well as printing other biological samples in aqueous solutions Illustrates the complete process for cell staining and high-content imaging of 3D cells on the chip and predicting human metabolism and toxicology on the chip

Spinal Cord Injury (SCI) Repair Strategies provides researchers the latest information on potential regenerative approaches to spinal cord injury, specifically focusing on therapeutic approaches that target regeneration, including cell therapies, controlled drug delivery systems, and biomaterials. Dr. Giuseppe Perale and Dr. Filippo Rossi lead a team of authoritative authors in academia and industry in this innovative reference on the field of regenerative medicine and tissue engineering. This book presents all the information readers need to understand the current and potential array of techniques, materials, applications and their benefits for spinal cord repair.

Computational biology drives discovery through its use of high-throughput informatics approaches. This book provides a road map of the current drug development process and how computational biology approaches play a critical role across the entire drug discovery pipeline. Through the use of previously unpublished, real-life case studies the impact of a range of computational approaches are discussed at various phases of the pipeline. Additionally, a focus section provides innovative visualisation approaches, from both the drug discovery process as well as from other fields that utilise large datasets, recognising the increasing use of such technology. Serving the needs of early career and more experienced scientists, this up-to-date reference provides an essential introduction to the process and background of drug discovery, highlighting how computational researchers can contribute to that pipeline.

This book describes the range of technologies that have been developed for diagnosing and assessing Parkinson's disease patients. Also presenting the latest studies providing insights into the changes to the neural system in Parkinson's disease, it is a valuable resource for neurologists, general practitioners and nurses. Further, the book highlights areas that require more research, and as such will appeal to researchers, biomedical engineers and clinicians.

Biomechanics of Coronary Atherosclerotic Plaque: From Model to Patient, First Edition, is the first comprehensive text to focus on important biomechanical studies conducted in the last decade that have increased our understanding of coronary atherosclerotic plaque initiation, growth, and rupture, as well as improving the design of medical devices and clinical interventions, including surgical procedures. The book provides students, researchers, engineers, clinicians, and interventional cardiologists with an overview of the main topics related to the biomechanics of atherosclerosis, in a single volume written by several experts in the field. This volume is part of the Biomechanics of Living Organs book series. The biomechanics of human soft tissues and organs has been an emerging research field since the publication of Y.C. Fung's original book series in the 1990s. The publication of such books entirely dedicated to a specific biomechanical subject is necessary to advance scientific research in the field of biomechanics and to transfer important knowledge to future generations. Therefore, this series of volumes on the biomechanics of living organs has been created. This series began in July 2017 with the publication of a first volume on the fundamentals of Hyperelastic Constitutive Laws for Finite Element Modeling of Living Organs. The current volume on the Biomechanics of Coronary Atherosclerotic Plaque, is the latest in this new series.

This book presents an overview of up-converting phosphor (UCP), including UCP preparation, development of the rapid detection strips and UCP industrialization. It also discusses the wide clinical applications of this technology, such as in food poisoning, infectious diseases, drug-abuse and disaster rescue, where rapid point-of-care testing is often critical. Conventional testing methods are mainly based on gold immunochromatography, which relies heavily on results being read with the naked eye. However, up-converting phosphor technology (UPT) employs UCP particles as labels for rapid target detection. Unlike other conventional fluorescence techniques, UCP is excited by infrared light and emitted visible light. This anti-stokes phenomenon provides this special label with significant advantages, including zero background detection, high resistance to environmental influences (e.g. pH, salts, sample contamination), high sensitivity and quantitative detection. Systematically summarizing UCP technology and its wide applications, this book is a valuable resource for researchers and technicians in the field.

Advanced 3D-Printed Systems and Nanosystems for Drug Delivery and Tissue Engineering explores the intricacies of nanostructures and 3D printed systems in terms of their design as drug delivery or tissue engineering devices, their further evaluations and diverse applications. The book highlights the most recent advances in both nanosystems and 3D-printed systems for both drug delivery and tissue engineering applications. It discusses the convergence of biofabrication with nanotechnology, constructing a directional customizable biomaterial arrangement for promoting tissue regeneration, combined with the potential for controlled bioactive delivery. These discussions provide a new viewpoint for both biomaterials scientists and pharmaceutical scientists.

The thesis focuses on the control of blood glucose devices and design of implantable devices, and offers valuable insights on diabetes mellitus and related physiology and treatments. Diabetes mellitus is a widespread chronic disease in the modern world that affects millions of people around the globe. In Singapore, one in ten of the population has diabetes, and the severity of the problem has prompted the country's prime minister to talk about the disease at the National Day Rally in 2017. Designing an artificial pancreas that can provide effective blood glucose control for individuals with diabetes is one of the most challenging engineering problems. The author reports on research into the development of an implantable artificial pancreas that can regulate blood glucose levels by delivering appropriate dosages of insulin when necessary. By sensing blood glucose and injecting insulin directly into the vein, the implantable device aims to remove delays that occur with subcutaneous blood glucose sensing and insulin delivery. Preliminary in-vitro and in-vivo experimental results suggest that the implantable device for blood glucose control could be a clinically viable alternative to pancreas transplant.

Biointegration of Medical Implant Materials, Second Edition, provides a unique and comprehensive review of recent techniques and research into material and tissue interaction and integration. New sections discuss soft tissue integration, with chapters on the biocompatibility of engineered stem cells, corneal tissue engineering, and vascular grafts. Other sections review tissue regeneration, inorganic nanoparticles for targeted drug delivery, alginate based drug delivery devices, and design considerations, with coverage of the biocompatibility of materials and their relevance to drug delivery and tissue engineering. With its distinguished editor and team of international contributors, this book is ideal for medical materials scientists and engineers in industry and academia.

Compressive Sensing in Healthcare, part of the Advances in Ubiquitous Sensing Applications for Healthcare series gives a review on compressive sensing techniques in a practical way, also presenting deterministic compressive sensing techniques that can be used in the field. The focus of the book is on healthcare applications for this technology. It is intended for both the creators of this technology and the end users of these products. The content includes the use of EEG and ECG, plus hardware and software requirements for building projects. Body area networks and body sensor networks are explored.

This book gathers papers presented at the 2019 Movement, Health & Exercise (MoHE) Conference and International Sports Science Conference (ISSC). The theme of this year's conference was "Enhancing Health and Sports Performance by Design". The content covers (but is not limited to) the following topics: exercise science; human performance; physical activity & health; sports medicine; sports nutrition; management & sports studies; and sports engineering & technology.

Systems Simulation and Modelling for Cloud Computing and Big Data Applications provides readers with the most current approaches to solving problems through the use of models and simulations, presenting SSM based approaches to performance testing and benchmarking that offer significant advantages. For example, multiple big data and cloud application developers and researchers can perform tests in a controllable and repeatable manner. Inspired by the need to analyze the performance of different big data processing and cloud frameworks, researchers have introduced several benchmarks, including BigDataBench, BigBench, HiBench, PigMix, CloudSuite and GridMix, which are all covered in this book. Despite the substantial progress, the research community still needs a holistic, comprehensive big data SSM to use in almost every scientific and engineering discipline involving multidisciplinary research. SSM develops frameworks that are applicable across disciplines to develop benchmarking tools that are useful in solutions development.