Neurostimulation for Epilepsy: Advances, Applications and Opportunities comprehensively reviews the diverse array of neurostimulation technologies currently in use and development for the treatment of epilepsy. The book covers basic research on mechanisms of neurostimulation, technical features of various FDA-approved and investigational devices for neurostimulation, clinical applications and programming considerations of these devices, and emerging insights and research based on data derived from these devices. It provides a contemporary assessment of neurostimulation in epilepsy, one that reveals recent progress in clinical applications and outcomes, fundamental questions that remain unanswered in the field, and future directions and considerations in developing next-generation devices.

Consumption was the deadliest, most common disease that mankind has faced up till now. Three billion people in Europe and North America died between the fourteenth and the end of the eighteenth century. It was a death sentence with no known cause which led to the development of unusual empirical therapies. Lucky Consumptive patients reached a Sanatorium. Sanatoria were developed to house sick patients in an environment where they stood the best chance of recovery from their illness. There was no organised healthcare system and funding for a Sanatorium depended upon provision provided by wealthy individuals, or societies. Charles Dunnell Rudd was a Cape Merchant who had made a fortune in South Africa successfully prospecting for Gold and Diamonds. His mother had died from Consumption and he wished to invest some of his money in building a Sanatorium. It had been shown that Consumptive patients survived longer if they took vigorous exercise, slept out of doors, and were nursed on higher land near to forests. Rudd anonymously purchased raised land at Northwood for this purpose. Helena (later Princess Christian) was Queen Victoria's third daughter, and had a marked social awareness, arranging charitable meals for the less fortunate. She was very hard working and became the Principal Patron for Mount Vernon Hospital, donating money and attending annual fundraising Festival Dinners. Contemporary photographs from this period show female patients walking around the grounds and occupying designated rest shelters. The male patients had a more vigorous lifestyle, working in the gardens and sleeping in their beds out of doors. Those surviving often acquired new skills which might enhance their future employment prospects. These measures greatly improved the prognosis for consumptive patients. After Koch discovered the Tubercle Bacillus effective curative anti-tuberculous therapy evolved.

The definitive story of COVID-19 and how global politics shape our health - from a world-leading expert and the pandemic's go-to science communicator

Professor Devi Sridhar has risen to prominence for her vital roles in communicating science to the public and speaking truth to power. In Preventable she highlights lessons learned from outbreaks past and present in a narrative that traces the COVID-19 pandemic - including her personal experience as a scientist - and sets out a vision for how we can better protect ourselves from the inevitable health crises to come.

In gripping and heartfelt prose, Sridhar exposes the varied realities of those affected and puts you in the room with key decision makers at crucial moments. She vibrantly conveys the twists and turns of a plot that saw: deadlier varients emerge (contrary to the predictions of social media pundits who argued it would mutate to a milder form); countries with weak health systems like Senegal and Vietnam fare better than countries like the US and UK (which were consistently ranked as the most prepared); and the quickest development of game-changing vaccines in history (and their unfair distribution)

Combining science, politics, ethics and economics, this definitive book dissects the global structures that determine our fate, and reveals the deep-seated economic and social inequalities at their heart - it will challenge, outrage and inspire.

Computational Intelligence in Healthcare Applications discusses a variety of techniques designed to represent, enhance and empower inter-domain research based on computational intelligence in healthcare. The book serves as a reference for the pervasive healthcare domain which takes into consideration new convergent computing and other applications. The book discusses topics such as mathematical modeling in medical imaging, predictive modeling based on artificial intelligence and deep learning, smart healthcare and wearable devices, and evidence-based predictive modeling. In addition, it discusses computer-aided diagnostic for clinical inferences and pervasive and ubiquitous techniques in healthcare. This book is a valuable resource for graduate students and researchers in medical informatics, however, it is also ideal for members of the biomedical field and healthcare industry who are interested in learning more about novel technologies and their applications in the field.

Multi Criteria Decision Making (MCDM) is a generic term for all methods that help people making decisions according to their preferences, in situations where there is more than one conflicting criterion. It is a branch of operational research dealing with finding optimal results in complex scenarios including various indicators, conflicting objectives and criteria. The approach of MCDM involves decision making concerning quantitative and qualitative factors. The importance and success of MCDM are due to the fact that they have successfully dealt with different types of problematics for supporting decision makers such as choice, ranking and sorting, description. Even though, each of the different problematics in MCDM is important, Multi-Criteria Decision-Making Sorting Methods will focus on sorting approaches across a wide range of interesting techniques and research disciplines. The applications which have been and can be solved by these techniques are more and more important in current real-world decision-making problems. Therefore, the book provides a clear overview of MCDM sorting methods and the different tools which can be used to solve real-world problems by revising such tools and characterizing them according to their performance and suitability for different types of problems. The book is aimed at a broad audience including computer scientists, engineers, geography and GIS experts, business and financial management experts, environment experts, and all those professional people interested in MCDM and its applications. The book may also be useful for teaching MCDM courses in fields such as industrial management, computer science, and applied mathematics, as new developments in multi-criteria decision making.

Security and Privacy Issues in Internet of Medical Things addresses the security challenges faced by healthcare providers and patients. As IoMT devices are vulnerable to cyberattacks, and a security breach through IoMT devices may act as a pathway for hackers to enter hospital networks, the book covers a very timely topic. The incorporation of blockchain in the healthcare environment has given birth to the Internet of Medical Things (IoMT), which consists of a collection of healthcare systems that espouse groundbreaking technologies. Systems consist of inter-linked sensors, wearable technology devices and clinical frameworks that perform explicit, secure machine-to-machine and cloud platform communications. The significance of IoMT in the field of healthcare is undoubtedly a win-win situation for patients through technology enhancements and a collection of analytics that helps in better diagnosis and treatment. Due to higher accuracy levels, IoMT devices are more reliable in reporting and data tracking and help avoid human errors and incorrect reporting.

Polymeric materials offer a high level of versatility due to the range of applications possible within the biomedical and clinical fields - including wound closure - particularly in comparison to metals or ceramics. These specialised materials also allow for a diverse array of therapeutic effects. Although there have been advances in improving polymeric materials for surgical sutures, there is little information available regarding improving the therapeutic value of sutures, and advanced technologies used to implement this improvement. Advanced Technologies and Polymer Materials for Surgical Sutures provides thorough coverage on suture materials with improved mechanical and therapeutic properties that can improve quality of life; chapter topics include drug-releasing kinetics of sutures, shape memory polymer sutures and future trends. This book is a useful resource for academics and researchers in the materials science and biomedical engineering fields, as well as professionals in biomaterials and biotextiles development and clinicians looking to learn more about suture material properties and suture/body interactions.

Contemporary Management of Metastatic Colorectal Cancer: A Precision Medicine Approach summarizes current knowledge and provides evidenced-based practice recommendations on how to treat patients with metastatic colorectal cancer. The book presents topics such as pre-operating imaging, the use of molecular markers in treatment decisions, neoadjuvant therapy, synchronous colorectal liver metastasis, and minimally invasive approaches. In addition, it discusses immunotherapy, targeted therapies and survivorship. This is a valuable resource for practitioners, cancer researchers, oncologists, graduate students and members of biomedical research who need to understand more about novel treatments for colorectal cancer metastasis.

Industrial Tomography: Systems and Applications, Second Edition thoroughly explores the important techniques of industrial tomography, also discusses image reconstruction, systems, and applications. This book presents complex processes, including the way three-dimensional imaging is used to create multiple cross-sections, and how computer software helps monitor flows, filtering, mixing, drying processes, and chemical reactions inside vessels and pipelines. This book is suitable for materials scientists and engineers and applied physicists working in the photonics and optoelectronics industry or in the applications industries.

The Zebrafish in Biomedical Research: Biology, Husbandry, Diseases, and Research Applications is a comprehensive work that fulfills a critical need for a thorough compilation of information on this species. The text provides significant updates for working vivarium professionals maintaining zebrafish colonies, veterinarians responsible for their care and well-being, zoologists and ethologists studying the species, and investigators using the species to gain critical insights into human physiology and disease. As the zebrafish has become an important model organism for the study of vertebrate development and disease, organ function, behavior, toxicology, cancer, and drug discovery, this book presents an important resource for future research.

Nowadays, Virtual Reality (VR) is commonly used in various applications including entertainment, education and training, manufacturing, medical and rehabilitation. VR not only provides immersive stereoscopic visualization of virtual environments and the visualization effect and computer graphics are critical to enhancing the engagement of participants and thus increases education and training effectiveness. Nevertheless, constructing realistic 3D models and scenarios for a specific application of VR simulation is not an easy task. There are many different tools for 3D modelling such as ZBrush, Blender, SketchUp, AutoCAD, SolidWorks, 3Ds Max, Maya, Rhino3D, CATIA, and more. Many of the modelling tools are very professional and used for manufacturing and product design application. The advanced features and functions may not be applicable to different levels of users and various specialization. This book explores the application of virtual reality in healthcare settings. This includes 3D modelling techniques, texturing, assigning material, and more. It allows for not only modelling and rendering techniques, but modelling, dressing, and animation in healthcare applications. The potential market of readers, including those from the engineering disciplines such as computer sciences/ computer engineering, product designers, and more. Other potential readers are those studying nursing and medicine, healthcare workers, and anyone interested in the development of VR applications for industry use. In addition, this is suitable for readers from other industries that may need to apply virtual reality in their field.

The Practical Guide to Clinical Research and Publication provides a comprehensive overview of the key foundations of epidemiology, statistics and epidemiological studies. This book presents the most important terms and knowledge in the field from a medical point-of-view. Sections contain numerous, clinically-oriented examples and drawings to facilitate understanding and clarify the relation to clinic and practice. The book contains many graphics and key points for easier understanding and is written using bullet points for ease of use and comprehension. It is ideal for physicians and clinical researchers who want to use it as guidance for clinical research or teaching.

Bioinspired and Biomimetic Materials for Drug Delivery delves into the potential of bioinspired materials in drug delivery, detailing each material type and its latest developments. In the last decade, biomimetic and bioinspired materials and technology has garnered increased attention in drug delivery research. Various material types including polymer, small molecular, protein, peptide, cholesterol, polysaccharide, nano-crystal and hybrid materials are widely considered in drug delivery research. However, biomimetic and bioinspired materials and technology have shown promising results for use in therapeutics, due to their high biocompatibility and reduced immunogenicity. Such materials include dopamine, extracellular exosome, bile acids, ionic liquids, and red blood cell. This book covers each of these materials in detail, reviewing their potential and usage in drug delivery. As such, this book will be a great source of information for biomaterials scientists, biomedical engineers and those working in pharmaceutical research.

Deep Learning for Chest Radiographs enumerates different strategies implemented by the authors for designing an efficient convolution neural network-based computer-aided classification (CAC) system for binary classification of chest radiographs into "Normal" and "Pneumonia." Pneumonia is an infectious disease mostly caused by a bacteria or a virus. The prime targets of this infectious disease are children below the age of 5 and adults above the age of 65, mostly due to their poor immunity and lower rates of recovery. Globally, pneumonia has prevalent footprints and kills more children as compared to any other immunity-based disease, causing up to 15% of child deaths per year, especially in developing countries. Out of all the available imaging modalities, such as computed tomography, radiography or X-ray, magnetic resonance imaging, ultrasound, and so on, chest radiographs are most widely used for differential diagnosis between Normal and Pneumonia. In the CAC system designs implemented in this book, a total of 200 chest radiograph images consisting of 100 Normal images and 100 Pneumonia images have been used. These chest radiographs are augmented using geometric transformations, such as rotation, translation, and flipping, to increase the size of the dataset for efficient training of the Convolutional Neural Networks (CNNs). A total of 12 experiments were conducted for the binary classification of chest radiographs into Normal and Pneumonia. It also includes in-depth implementation strategies of exhaustive experimentation carried out using transfer learning-based approaches with decision fusion, deep feature extraction, feature selection, feature dimensionality reduction, and machine learning-based classifiers for implementation of end-to-end CNN-based CAC system designs, lightweight CNN-based CAC system designs, and hybrid CAC system designs for chest radiographs. This book is a valuable resource for academicians, researchers, clinicians, postgraduate and graduate students in medical imaging, CAC, computer-aided diagnosis, computer science and engineering, electrical and electronics engineering, biomedical engineering, bioinformatics, bioengineering, and professionals from the IT industry.

The Pacific Symposium on Biocomputing (PSB) 2023 is an international, multidisciplinary conference for the presentation and discussion of current research in the theory and application of computational methods in problems of biological significance. Presentations are rigorously peer reviewed and are published in an archival proceedings volume. PSB 2023 will be held on January 3-7, 2023 in Kohala Coast, Hawaii. Tutorials and workshops will be offered prior to the start of the conference.PSB 2023 will bring together top researchers from the US, the Asian Pacific nations, and around the world to exchange research results and address open issues in all aspects of computational biology. It is a forum for the presentation of work in databases, algorithms, interfaces, visualization, modeling, and other computational methods, as applied to biological problems, with emphasis on applications in data-rich areas of molecular biology.The PSB has been designed to be responsive to the need for critical mass in sub-disciplines within biocomputing. For that reason, it is the only meeting whose sessions are defined dynamically each year in response to specific proposals. PSB sessions are organized by leaders of research in biocomputing's 'hot topics.' In this way, the meeting provides an early forum for serious examination of emerging methods and approaches in this rapidly changing field.