Mathematical Modeling, Simulations, and Artificial Intelligence for Emergent Pandemic Diseases: Lessons Learned from COVID-19 includes new research, models and simulations developed during the COVID-19 pandemic into how mathematical methods and practice can impact future response. Chapters go beyond forecasting COVID-19, bringing different scale angles and mathematical techniques (e.g., ordinary differential and difference equations, agent-based models, artificial intelligence, and complex networks) which could have potential use in modeling other emergent pandemic diseases. A major part of the book focuses on preparing the scientific community for the next pandemic, particularly the application of mathematical modeling in ecology, economics and epidemiology. Readers will benefit from learning how to apply advanced mathematical modeling to a variety of topics of practical interest, including optimal allocations of masks and vaccines but also more theoretical problems such as the evolution of viral variants.

Biostatistics Manual for Health Research: A Practical Guide to Data Analysis is a guide for researchers on how to apply biostatistics on different types of data. The book approaches biostatistics and its application from medical and health researcher's point-of-view and has real and mostly published data for practice and understanding. The interpretation and meaning of the statistical results, reporting guidelines and mistakes are taught with real world examples. This is a valuable resource for biostaticians, students and researchers from medical and biomedical fields who need to learn how to apply statistical approaches to improve their research.

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.

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.

Nanomedicine-Based Approaches for the Treatment of Dementia explores a wide range of promising approaches for the diagnosis and treatment of dementia. The book begins with introductory sections on dementia and brain ailments that are followed by further chapters that discuss detailed information about challenges of drug delivery across the blood-brain barrier as well as the current status. This book helps readers design and develop novel drug delivery systems and devices for the treatment of dementia that take advantage of recent advances in nanomedical technologies. Numerous drug delivery systems have been developed recently for dementia. Unfortunately, most of them are ineffective since dementia is not a single disease. It is an umbrella term for several neurodegenerative conditions which alter brain functions. Due to this, there is an urgent need for innovative technologies/nano drug delivery systems to improve the targeting and delivery of therapeutic as well as diagnostic agents specifically for treating dementia.

MRI Atlas of the Infant Rat Brain: Brain Segmentation features an entirely new coronal, sagittal and horizontal set of tissue cut in regular 9 m intervals with accompanying photographs of MRI data and color drawings of selected brain regions in the three planes. The use of the single brain allows for greater consistency between sections, while color masking offers advances in manual segmentation techniques with increased refinement in the definition of brain areas. Readers will benefit from uniform and consistent manual tissue segmentation of MRI data in an infant rat brain. This volume provides readers the first infant rat brain MRI atlas and a valuable resource in research analyses of the developing brain for structural and functional MRI analyses.

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.

3D Bioprinting and Nanotechnology in Tissue Engineering and Regenerative Medicine, Second Edition provides an in-depth introduction to bioprinting and nanotechnology and their industrial applications. Sections cover 4D Printing Smart Multi-responsive Structure, Cells for Bioprinting, 4D Printing Biomaterials, 3D/4D printing functional biomedical devices, 3D Printing for Cardiac and Heart Regeneration, Integrating 3D printing with Ultrasound for Musculoskeletal Regeneration, 3D Printing for Liver Regeneration, 3D Printing for Cancer Studies, 4D Printing Soft Bio-robots, Clinical Translation and Future Directions. The book's team of expert contributors have pooled their expertise in order to provide a summary of the suitability, sustainability and limitations of each technique for each specific application. The increasing availability and decreasing costs of nanotechnologies and 3D printing technologies are driving their use to meet medical needs. This book provides an overview of these technologies and their integration.

Anomaly Detection and Complex Event Processing over IoT Data Streams: With Application to eHealth and Patient Data Monitoring presents advanced processing techniques for IoT data streams and the anomaly detection algorithms over them. The book brings new advances and generalized techniques for processing IoT data streams, semantic data enrichment with contextual information at Edge, Fog and Cloud as well as complex event processing in IoT applications. The book comprises fundamental models, concepts and algorithms, architectures and technological solutions as well as their application to eHealth. Case studies, such as the bio-metric signals stream processing are presented -the massive amount of raw ECG signals from the sensors are processed dynamically across the data pipeline and classified with modern machine learning approaches including the Hierarchical Temporal Memory and Deep Learning algorithms. The book discusses adaptive solutions to IoT stream processing that can be extended to different use cases from different fields of eHealth, to enable a complex analysis of patient data in a historical, predictive and even prescriptive application scenarios. The book ends with a discussion on ethics, emerging research trends, issues and challenges of IoT data stream processing.

Cognitive and Soft Computing Techniques for the Analysis of Healthcare Data discusses the insight of data processing applications in various domains through soft computing techniques and enormous advancements in the field. The book focuses on the cross-disciplinary mechanisms and ground-breaking research ideas on novel techniques and data processing approaches in handling structured and unstructured healthcare data. It also gives insight into various information-processing models and many memories associated with it while processing the information for forecasting future trends and decision making. This book is an excellent resource for researchers and professionals who work in the Healthcare Industry, Data Science, and Machine learning.

Artificial Intelligence for Healthcare Applications and Management introduces application domains of various AI algorithms across healthcare management. Instead of discussing AI first and then exploring its applications in healthcare afterward, the authors attack the problems in context directly, in order to accelerate the path of an interested reader toward building industrial-strength healthcare applications. Readers will be introduced to a wide spectrum of AI applications supporting all stages of patient flow in a healthcare facility. The authors explain how AI supports patients throughout a healthcare facility, including diagnosis and treatment recommendations needed to get patients from the point of admission to the point of discharge while maintaining quality, patient safety, and patient/provider satisfaction. AI methods are expected to decrease the burden on physicians, improve the quality of patient care, and decrease overall treatment costs. Current conditions affected by COVID-19 pose new challenges for healthcare management and learning how to apply AI will be important for a broad spectrum of students and mature professionals working in medical informatics. This book focuses on predictive analytics, health text processing, data aggregation, management of patients, and other fields which have all turned out to be bottlenecks for the efficient management of coronavirus patients.

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.

Tamoxifen Tales: Suggestions for Scientific Survival presents a case study describing the academic journey of teams behind major advances in medical sciences, highlighting lessons learned that are applicable to the next generation of scientists. This book provides a manual on the successful mentoring of young scientists, including stories describing how training experience shaped careers to become leaders in academia and the pharmaceutical industry. The book documents Professor V. Craig Jordan's 50-year career in medical sciences that led to the discovery and development of Selective Estrogen Receptor Modulators (SERMs), which became the standard of women's healthcare around the world. Additionally, it illustrates the versatility of a scientist with a commitment to serving societies. This important resource will be a useful and interesting book for established medical scientists, research mentors and advanced students wanting to chart a successful and impactful research career.

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 cybersecurity of connected medical devices is one of the biggest challenges facing healthcare today. The compromise of a medical device can result in severe consequences for both patient health and patient data. Cybersecurity for Connected Medical Devices covers all aspects of medical device cybersecurity, with a focus on cybersecurity capability development and maintenance, system and software threat modeling, secure design of medical devices, vulnerability management, and integrating cybersecurity design aspects into a medical device manufacturer's Quality Management Systems (QMS). This book is geared towards engineers interested in the medical device cybersecurity space, regulatory, quality, and human resources specialists, and organizational leaders interested in building a medical device cybersecurity program.

Aggregates of the TAR DNA binding protein 43 (TDP-43), are hallmark features of the neurodegenerative diseases Amyotrophic Lateral Sclerosis (ALS) and frontotemporal dementia (FTD), with overlapping clinical, genetic and pathological features. TDP-43 and Neurodegeneration: From Bench to Bedside summarizes new findings in TDP-43 pathobiology and proteinopathies. The book summarizes TDP-43's structure, function, biology, misfolding, aggregation, pathogenesis and therapeutics. It includes autophagy-mediated therapy, role of stress granule, novel genetic, cell culture-based models, systems biology for precision medicine, development of stem cells and mechanism-based therapies that can target ALS and other related neurodegenerative diseases. This book is written for neuroscientists, neurologists, clinicians, advanced graduate students, drug discovery researchers, as well as cellular and molecular biologists involved in ALS, motor neuron disease (MND) and other neurodegenerative disorders.

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.

The rapid development of artificial intelligence technology in medical data analysis has led to the concept of radiomics. This book introduces the essential and latest technologies in radiomics, such as imaging segmentation, quantitative imaging feature extraction, and machine learning methods for model construction and performance evaluation, providing invaluable guidance for the researcher entering the field. It fully describes three key aspects of radiomic clinical practice: precision diagnosis, the therapeutic effect, and prognostic evaluation, which make radiomics a powerful tool in the clinical setting. This book is a very useful resource for scientists and computer engineers in machine learning and medical image analysis, scientists focusing on antineoplastic drugs, and radiologists, pathologists, oncologists, as well as surgeons wanting to understand radiomics and its potential in clinical practice.