Nanostructured Materials for Tissue Engineering introduces the key properties and approaches involved in using nanostructured materials in tissue engineering, including functionalization, nanotechnology-based regenerative techniques, toxicological and biocompatible aspects. A broad range of nanomaterial types are covered, from polymer scaffolds and nanocomposites to gold nanoparticles and quantum dots. This book aids the reader in materials selection, as well as matching to the best applications, including bone, skin, pulmonary or neurological tissue engineering. Users will find this book to be an up-to-date review on this fast-changing field that is ideal for materials scientists, tissue engineers, biomedical engineers, and pharmaceutical scientists.

Natural Biopolymers in Drug Delivery and Tissue Engineering systematically examines a broad range of natural polymers and their applications in drug delivery and tissue engineering. The book thoroughly collates the most relevant and up-to-date research on natural biopolymers, covering a variety of key natural polymer types such as chitin, chitosan, alginate, guar gum and collagen. It is divided into two sections, covering drug delivery and tissue engineering applications. Each section focuses on natural biopolymers in the form of scaffolds, membranes, films, gels and nanoparticles, thus helping the reader select not only the most appropriate polymer type, but also the most relevant structure. This comprehensive resource is ideal for materials scientists, biomedical engineers, tissue engineers, pharmaceutical scientists and anyone interested in developing novel materials for biomedical applications.

Deep Learning for Medical Applications with Unique Data informs readers about the most recent deep learning-based medical applications in which only unique data gathered in real cases are used. The book provides examples of how deep learning can be used in different problem areas and frameworks in both clinical and research settings, including medical image analysis, medical image registration, time series analysis, medical data synthesis, drug discovery, and pre-processing operations. The volume discusses not only positive findings, but also negative ones obtained by deep learning techniques, including the use of newly developed deep learning techniques rarely reported in the existing literature. The book excludes research works with ready data sets and includes only unique data use to better understand the state of deep learning in real-world cases, along with the feedback and user experiences from physicians and medical staff for applied deep learning-based solutions. Other applications presented in the book include hybrid solutions with deep learning support, disease diagnosis with deep learning focusing on rare diseases and cancer, patient care and treatment, genomics research, as well as research on robotics and autonomous systems.

Fluorescence imaging, at macro, micro, and submicro scales, has revolutionized biological science in the past 30 years. Immunolabelling has provided precise targeting of molecules in fixed tissue, while fluorescent proteins have enabled localization in living tissues. Fluorescent indicators enable imaging of dynamic changes in cell metabolism. This book covers, for the first time, imaging at all scales from macro to submicro (superresolution). Its authors include Robert Clegg, legendary teacher and researcher (who, sadly, passed away during the editing); Jim Pawley, editor of several editions of the Handbook of Biological Confocal Microscopy; the famous and now dispersed New Zealand team of Mark Cannell, Christian Soeller, and David Baddeley; Robert Hoffman, pioneer of whole-animal imaging in cancer research; Andreas Schoenle and Christian Eggeling on STED nanoscopy, and many more famous participants in this field. All the contributors are at the cutting edge of their field.

"Virtually every wound, whether surgical or traumatic, needs to be closed to promote wound healing and prevent infection. Increasingly sophisticated and effective materials for the crucial surgical treatment of wound closure are being developed continuously. Keep up with the most recent research progress and future trends in this complex and rapidly changing field with Wound Closure Biomaterial and Devices. This state-of-the-art book provides detailed information and critical discussions on: i

Neutron optics studies the interactions of a beam of slow neutrons with matter. This book updates various advances on neutron optics. There will be a focus on the very active topics of neutron imaging (NI) and neutron spin optics (NSO). The book will also present applications of neutron beams in biomedicine, such as Boron Neutron Capture Therapy (BNCT) and related techniques. Features: Discusses diffraction and interference of slow neutrons, including computational approaches Reviews neutron imaging (NI) and neutron spin optics (NSO) Treats two major sources of slow neutron beams: (1) fission reactions at nuclear reactors and (2) collisions in particle accelerators (small ones, spallation sources) of charged particle beams with targets of heavy atoms Selects subjects on fundamental quantum aspects of slow neutrons and on confined propagation and waveguiding thereof Updates slow neutron beams and BNCT

Systems Biology and Its Application in TCM Formulas Research presents a theoretical research system formed for Traditional Chinese Medicine (TCM) formulas, along with information on the study of Shexiang Baoxin Pill (SBP), a TCM formula that has shown significant clinical efficacy in the treatment of cardiovascular diseases. The content combines theory and practice, and includes guidance for both theoretical concepts and operable technical routes. This is a valuable source not only for biomedical researchers involved in Systems Biology studies, but also for students and scientists interested in learning more about Traditional Chinese Medicine and its applications in contemporary medicine.

In recent years, scientific research and translation medicine have placed increased emphasis on computational methodology and data curation across many disciplines, both to advance underlying science and to instantiate precision-medicine protocols in the lab and in clinical practice. The nexus of concerns related to oncology, cardiology, and virology (SARS-CoV-2) presents a fortuitous context within which to examine the theory and practice of biomedical data curation. Innovative Data Integration and Conceptual Space Modeling for COVID, Cancer, and Cardiac Care argues that a well-rounded approach to data modeling should optimally embrace multiple perspectives inasmuch as data-modeling is neither a purely formal nor a purely conceptual discipline, but rather a hybrid of both. On the one hand, data models are designed for use by computer software components, and are, consequently, constrained by the mechanistic demands of software environments; data modeling strategies must accept the formal rigors imposed by unambiguous data-sharing and query-evaluation logic. In particular, data models are not well-suited for software-level deployment if such models do not translate seamlessly to clear strategies for querying data and ensuring data integrity as information is moved across multiple points. On the other hand, data modeling is, likewise, constrained by human conceptual tendencies, because the information which is managed by databases and data networks is ultimately intended to be visualized/utilized by humans as the end-user. Thus, at the intersection of both formal and humanistic methodology, data modeling takes on elements of both logico-mathematical frameworks (e.g., type systems and graph theory) and conceptual/philosophical paradigms (e.g., linguistics and cognitive science). The authors embrace this two-sided aspect of data models by seeking non-reductionistic points of convergence between formal and humanistic/conceptual viewpoints, and by leveraging biomedical contexts (viz., COVID, Cancer, and Cardiac Care) so as to provide motivating examples and case-studies in this volume.

ECHNOLOGICAL PROSPECTS AND SOCIAL APPLICATIONS SET Coordinated by Bruno Salgues There are many controversies with respect to health crisis management: the search for information on symptoms, misinformation on emerging treatments, massive use of collaborative tools by healthcare professionals, deployment of applications for tracking infected patients. The Covid-19 crisis is a relevant example about the need for research in digital communications in order to understand current health info communication. After an overview of the challenges of digital healthcare, this book offers a critical look at the organizational and professional limits of ICT uses for patients, their caregivers and healthcare professionals. It analyzes the links between ICT and ethics of care, where health communication is part of a global, humanistic and emancipating care for patients and caregivers. It presents new digitized means of communicating health knowledge that reveal, thanks to the Internet, a competition between biomedical expert knowledge and experiential secular knowledge.

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 is the textbook and reference resource that instructors, students, and researchers in biomedical optics have been waiting for. Comprehensive and up to date, it covers a broad range of areas in biomedical optics, from light interactions at the single-photon and single-biomolecule levels, to the diffusion regime of light propagation in tissue. Subjects covered include spectroscopic techniques (fluorescence, Raman, infrared, near-infrared, and elastic scattering), imaging techniques (diffuse optical tomography, photoacoustic imaging, several forms of modern microscopy, and optical coherence tomography), and laser-tissue interactions, including optical tweezers. Topics are developed from the fundamental principles of physical science, with intuitive explanations, while rigorous mathematical formalisms of theoretical treatments are also provided. For each technique, descriptions of relevant instrumentation and examples of biomedical applications are outlined, and each chapter benefits from references and suggested resources for further reading, and exercise problems with answers to selected problems.

This book explores the author's wide-ranging work on muscle research, which spans more than 50 years. It delves into the dogmas of muscle contraction: how the models were constructed and what was overlooked during the process, including their resulting shortcomings. The text stimulates general readers' and researchers' interest, highlights the author's pioneering work on the electron microscopic recording of myosin head power and recovery strokes, and presents a frank discussion on how the original work sometimes tends to be overlooked by competing scientists, who hinder the progress of science.

Brain Tumor MRI Image Segmentation Using Deep Learning Techniques offers a description of deep learning approaches used for the segmentation of brain tumors. The book demonstrates core concepts of deep learning algorithms by using diagrams, data tables and examples to illustrate brain tumor segmentation. After introducing basic concepts of deep learning-based brain tumor segmentation, sections cover techniques for modeling, segmentation and properties. A focus is placed on the application of different types of convolutional neural networks, like single path, multi path, fully convolutional network, cascade convolutional neural networks, Long Short-Term Memory - Recurrent Neural Network and Gated Recurrent Units, and more. The book also highlights how the use of deep neural networks can address new questions and protocols, as well as improve upon existing challenges in brain tumor segmentation.

The response to environmental and internal stimuli is one of the basic characteristics of living organisms. Inspired by this natural strategy and fast-developing nanotechnology and materials science, stimuli-responsive nanomedicine has emerged as an active and important field of nanomedicine. This book offers a fundamental and comprehensive overview of stimuli-responsive nanomedicine and compiles and details the recent cutting-edge findings and most impressive achievements in biomedical applications, from a pharmaceutical science perspective, making it the first book of its kind in this field. By providing readers a broad and in-depth coverage of endogenous and exogenous stimuli as well as their applicable nanomedicines, this book is valuable for students, researchers, and educators in biomedical sciences or anyone interested in this burgeoning field.

Nanotechnology in Medicine and Biology brings together a multidisciplinary team of experts from the fields of materials science, nanotechnology, medicine and biomedical engineering to introduce new nanoscale biomaterials and their applications, diagnosis and treatment of disorders of the human body. The book presents the fundamentals for understanding the design, properties and selection of nanobiomaterials as well as their real-world applications in medicine. Each chapter addresses current regulations, manufacturing processes, and translation issues of nanobiomaterials for key applications. A discussion of current protocols and their benefits and disadvantages is also included. This book provides comprehensive background and knowledge in the field of nanobiomaterials that is suitable for academics, scientists and clinicians.

Adverse Effects of Engineered Nanomaterials: Exposure, Toxicology, and Impact on Human Health, Second Edition, provides a systematic evaluation of representative engineered nanomaterials (ENM) of high volume production and their high economic importance. Each class of nanomaterials discussed includes information on what scientists, industry, regulatory agencies, and the general public need to know about nanosafety. Written by leading international experts in nanotoxicology and nanomedicine, this book gives a comprehensive view of the health impact of ENM, focusing on their potential adverse effects in exposed workers, consumers, and patients. All chapters have been updated with new sections on the endocrine system and other organ systems. In addition, other newly added sections include introductory chapters on the physio-chemical characterization of nanomaterials and interactions between nanomaterials and biological systems, as well as a new chapter that explores risk assessment and management of nanomaterials. This book fills an important need in terms of bridging the gap between experimental findings and human exposure to ENM, also detailing the clinical and pathological consequences of such exposure in the human population.

This book combines the contributions from the experts of material science, molecular biology, toxicology bio-organic and bio-inorganic chemistry, toxicologists and environmental and food technology etc. to fathom the full scope of current and future of developments in the area of Nanobiotechnology. Provides brief overview of nanobiotechnology for general readers who are not familiar with the research fields and presents a strong overview of most of the critical areas in field This book can also be used as text book for graduate students as an essential reference material, and as an reading material for general readers having a curiosity in Nanobiotechnology.

Biomechanics of Tendons and Ligaments: Tissue Reconstruction looks at the structure and function of tendons and ligaments. Biological and synthetic biomaterials for their reconstruction and regeneration are reviewed, and their biomechanical performance is discussed. Regeneration tendons and ligaments are soft connective tissues which are essential for the biomechanical function of the skeletal system. These tissues are often prone to injuries which can range from repetition and overuse, to tears and ruptures. Understanding the biomechanical properties of ligaments and tendons is essential for their repair and regeneration.

Functionalized Nanomaterials for the Management of Microbial Infection: A Strategy to Address Microbial Drug Resistance introduces the reader to the newly developing use of nanotechnology to combat microbial drug resistance. Excessive use of antibiotics and antimicrobial agents has produced an inexorable rise in antibiotic resistance in bacterial pathogens. The use of nanotechnology is currently the most promising strategy to overcome microbial drug resistance. This book shows how, due to their small size, nanoparticles can surmount existing drug resistance mechanisms, including decreased uptake and increased efflux of the drug from the microbial cell, biofilm formation, and intracellular bacteria. In particular, chapters cover the use of nanoparticles to raise intracellular antimicrobial levels, thus directly targeting sites of infection and packaging multiple antimicrobial agents onto a single nanoparticle.

Nanofiber Composite Materials for Biomedical Applications presents new developments and recent advances in nanofiber-reinforced composite materials and their use in biomedical applications, including biomaterial developments, drug delivery, tissue engineering, and regenerative medicine. Unlike more conventional titles on composite materials, this book covers the most innovative new developments in nanofiber-based composites, including polymers, ceramics, and metals, with particular emphasis on their preparation and characterization methodology. Selected case studies illustrate new developments in clinical and preclinical use, making the information critical for the development of new medical materials and systems for use in human health care, and for the exploration of new design spaces based on these nanofibers. This book is essential reading for those working in biomedical science and engineering, materials science, nanoscience, biomedical nanotechnology, and biotechnology.

Medical imaging is one of the heaviest funded biomedical engineering research areas. The second edition of Pattern Recognition and Signal Analysis in Medical Imaging brings sharp focus to the development of integrated systems for use in the clinical sector, enabling both imaging and the automatic assessment of the resultant data. Since the first edition, there has been tremendous development of new, powerful technologies for detecting, storing, transmitting, analyzing, and displaying medical images. Computer-aided analytical techniques, coupled with a continuing need to derive more information from medical images, has led to a growing application of digital processing techniques in cancer detection as well as elsewhere in medicine. This book is an essential tool for students and professionals, compiling and explaining proven and cutting-edge methods in pattern recognition for medical imaging.

Developments in mesoporous ceramics in drug delivery, nanomedicine, and bone tissue regeneration have opened promising developments in biomedical research, many applicable in the clinic in the near future. Due to the ability to fine-tune the physicochemical properties of these materials, the field has experienced an impressive burst in the number of publications. As controlled drug delivery systems are one of the most promising applications for human health care, it is now necessary to set the milestones of this technology, from the very basic to the most advanced. Biomedical Applications of Mesoporous Ceramics: Drug Delivery, Smart Materials and Bone Tissue Engineering is a comprehensive overview of silica-based mesoporous materials with special attention given to their use in drug delivery systems, sophisticated stimuli-responsive materials, and bone tissue engineering. The book provides a comprehensive overview of the basic aspects of the properties of mesoporous materials, with a focus on textural properties such as surface and porosity. Starting from this consolidated knowledge, it then addresses various aspects of more sophisticated stimuli-responsive materials and bone tissue engineering, detailing the research and development of these biomedical applications.

Understanding viscoelasticity is pertinent to design applications as diverse as earplugs, gaskets, computer disks, satellite stability, medical diagnosis, injury prevention, vibration abatement, tire performance, sports, spacecraft explosions, and music. This book fits a one-semester graduate course on the properties, analysis, and uses of viscoelastic materials. Those familiar with the author s precursor book, Viscoelastic Solids, will see that this book contains many updates and expanded coverage of the materials science, causes of viscoelastic behavior, properties of materials of biological origin, and applications of viscoelastic materials. The theoretical presentation includes both transient and dynamic aspects, with emphasis on linear viscoelasticity to develop physical insight. Methods for the solution of stress analysis problems are developed and illustrated. Experimental methods for characterization of viscoelastic materials are explored in detail. Viscoelastic phenomena are described for a wide variety of materials, including viscoelastic composite materials. Applications of viscoelasticity and viscoelastic materials are illustrated with case studies."

Computing and Visualization for Intravascular Imaging and Computer-Assisted Stenting presents imaging, treatment, and computed assisted technological techniques for diagnostic and intraoperative vascular imaging and stenting. These techniques offer increasingly useful information on vascular anatomy and function, and are poised to have a dramatic impact on the diagnosis, analysis, modeling, and treatment of vascular diseases. After setting out the technical and clinical challenges of vascular imaging and stenting, the book gives a concise overview of the basics before presenting state-of-the-art methods for solving these challenges. Readers will learn about the main challenges in endovascular procedures, along with new applications of intravascular imaging and the latest advances in computer assisted stenting.