This book delves into the field of immobilizing biologically active and non-active molecules. It discusses the designing strategy of immobilization and the current state-of-the-art applications for advancing biomedical, agricultural, environmental and industrial practices. It focuses on aspects ranging from fundamental principles to current technological advances at multi-scale levels (macro, micro, and nano) which are suitable for cell, enzyme, and nano-catalyst based applications. Written by experts from across the globe, the contents deal with illustrated examples of molecular and cellular interactions with materials/scaffolds and discussions on factors that can affect the functionality and yield of the process. With its discussions on material science, design of delivery vehicles, separation science, additive manufacturing, agriculture and environmental science, this book will be a useful reference for researchers across multiple disciplines.

The 4th World Congress on Genetics, Geriatrics and Neurodegenerative Diseases Research (GeNeDis 2020) focuses on the latest major challenges in scientific research, new drug targets, the development of novel biomarkers, new imaging techniques, novel protocols for early diagnosis of neurodegenerative diseases, and several other scientific advances, with the aim of better, safer, and healthier aging. Computational methodologies for implementation on the discovery of biomarkers for neurodegenerative diseases are extensively discussed. This volume focuses on the sessions from the conference regarding computational biology and bioinformatics.

The future of gene editing in humans will involve the use of CRISPR. How we think about the combination of the scientific, ethical, and moral aspects of this technology is paramount to the success or failure of CRISPR in humans. Unfortunately, the current scientific discussion around CRISPR in humans has left ethics trailing behind due to the rapid pace of innovation. New modes of ethics and stakeholder participation are needed to keep pace with rapid scientific advances and provide the necessary policy and ethical frameworks necessary to help CRISPR flourish as an important health care tool to treat human disease. This requires intense interdisciplinary collaboration and discussion between scientists and philosophers, policymakers and legal scholars, and the public. Dr. Michael W. Nestor (a neuroscientist who actively uses CRISPR in pre-clinical research) and Professor Richard Wilson (a philosopher who focuses on anticipatory ethics) set out to develop a new ethical approach considering the use of CRISPR in human targeted therapies. The field of anticipatory ethics is uniquely poised to tackle questions in fast-evolving technical areas where the pace of innovation outstrips traditional philosophical approaches. Furthermore, because of its "anticipatory" nature, this type of analysis provides the opportunity to look ahead and into the future concerning potential uses of CRISPR in humans, uses that are not currently possible. Nestor and Wilson collaborate both scientifically and philosophically in this book to forecast potential outcomes as the scientific and medical community goes beyond using CRISPR to correct genes that underlie diseases where a single gene is involved. Instead, Nestor and Wilson envision CRISPR in complex, multigenic disorders with a specific focus on the use of CRISPR to edit genes involved in mental traits like IQ or other cognitive characteristics. They argue that the use of CRISPR to modify genes that are potentially important for mental traits represents a particular category for special consideration from scientists, policymakers, the public, and other stakeholders. Nestor and Wilson explain why using CRISPR to alter mental states is very different from treating a disease like cancer by combining the latest scientific advancements with anticipatory ethics and philosophical phenomenology. Their analysis considers the role that mental states play in personhood and the lived experience-as genes that can change mental/cognitive attributes like IQ have wide-ranging effects on the lived experience in ways that are categorically different from other attributes. This book was written to set a non-exhaustive framework for shared understanding and discussion across disciplines and appeal to scientists and non-scientists alike. This appeal is made inclusively, inviting all stakeholders to engage in active dialogue about the appropriate context for using CRISPR and other gene-editing technologies in humans. It provides policy analysis and recommendations for assuring the most inclusive, equitable, and ethically sound use of CRISPR in humans, concerning its positive potential to treat mental conditions like depression, schizophrenia, Alzheimer's disease, autism, and the potential to induce other cognitive enhancements.

This contributed volume reviews the latest advances in all the new technologies currently developed for MagnetoEncephaloGraphy (MEG) recordings, as well as sensor technologies and integrated sensor arrays for on-scalp MEG. The book gives an account of the first MEG imaging studies and explores the new field of feasible, experimental paradigms of on-scalp MEG. This is an ideal book for engineers, researchers, and students in the neurosciences interested in MEG imaging.

This book covers virtually all aspects of image formation in medical imaging, including systems based on ionizing radiation (x-rays, gamma rays) and non-ionizing techniques (ultrasound, optical, thermal, magnetic resonance, and magnetic particle imaging) alike. In addition, it discusses the development and application of computer-aided detection and diagnosis (CAD) systems in medical imaging. Also there will be a special track on computer-aided diagnosis on COVID-19 by CT and X-rays images. Given its coverage, the book provides both a forum and valuable resource for researchers involved in image formation, experimental methods, image performance, segmentation, pattern recognition, feature extraction, classifier design, machine learning / deep learning, radiomics, CAD workstation design, human-computer interaction, databases, and performance evaluation.

Current demand in biomedical sciences emphasizes the understanding of basic mechanisms and problem solving rather than rigid empiricism and factual recall. Knowledge of the basic laws of mass and momentum transport as well as model development and validation, biomedical signal processing, biomechanics, and capstone design have indispensable roles in the engineering analysis of physiological processes. To this end, an introductory, multidisciplinary text is a must to provide the necessary foundation for beginning biomedical students. Assuming no more than a passing acquaintance with molecular biology, physiology, biochemistry, and signal processing, Biomedical Engineering Principles, Second Edition provides just such a solid, accessible grounding to this rapidly advancing field. Acknowledging the vast range of backgrounds and prior education from which the biomedical field draws, the organization of this book lends itself to a tailored course specific to the experience and interests of the student. Divided into four sections, the book begins with systems physiology, transport processes, cell physiology, and the cardiovascular system. Part I covers systems analysis, biological data, and modeling and simulation in experimental design, applying concepts of diffusion, and facilitated and active transport. Part II presents biomedical signal processing, reviewing frequency, periodic functions, and Fourier series as well as signal acquisition and processing techniques. Part III presents the practical applications of biomechanics, focusing on the mechanical and structural properties of bone, musculoskeletal, and connective tissue with respect to joint range, load bearing capacity, and electrical stimulation. The final part highlights capstone design, discussing design perspectives for living and nonliving systems, the role of the FDA, and the project timeline from inception to proof of concept. Cutting across many disciplines, Biomedical Engineering Principles, Second Edition offers illustrative examples as well as problems and discussion questions designed specifically for this book to provide a readily accessible, widely applicable introductory text.

Urban parks and gardens are where people go to reconnect with nature and destress. But do they all provide the same benefits or are some better than others? What specific attributes set some green spaces apart? Can we objectively measure their impact on mental health and well-being? If so, how do we use this evidence to guide the design of mentally healthy cities? The Contemplative Landscape Model unveils the path to answer these questions. Rooted in landscape architecture and neuroscience, this innovative concept is described for the first time in an extended format, offering a deep dive into contemplative design and the science behind it. In the face of the global mental health crisis, and increasing disconnection from nature, design strategies for creating healthier urban environments are what our cities so sorely need. The book delves into the neuroscience behind contemplative landscapes, their key spatial characteristics, and practical application of the Contemplative Landscape Model through case studies from around the world. Landscape architects, urban planners, students, land managers, and anyone interested in unlocking the healing power of landscapes will find inspiration here.

This book provides a comprehensive overview of recent novel coronavirus (SARS-CoV-2) infection and discusses developments in the field of nanoparticle/inorganic/organic materials development for antiviral application, therapeutic applications, PPE kit formulations and inclusion of simulated data. The contents focus on measures to keep the infections in check, materials aspects for detection and monitoring, AI modeling for prediction of spread of the virus, among others. This book will be a useful reference for researchers, scientists and policy makers alike.

This book focuses on applications of three-dimensional (3D) printing in healthcare. It first describes a range of biomaterials, including their physicochemical and biological properties. It then reviews the current state of the art in bioprinting techniques and the potential application of bioprinting, computer-aided additive manufacturing of cells, tissues, and scaffolds to create organs in regenerative medicine. Further, it discusses the orthopedic applications of 3D printing in the design and fabrication of dental implants, and the use of 3D bioprinting in oral and maxillofacial surgery and in tissue and organ engineering. Lastly, the book examines the 3D printing technologies that are used for the fabrication of the drug delivery system. It also explores the current challenges and the future of 3D bioprinting in medical sciences, as well as the market demand.

This textbook fills a gap to supply students with the fundamental principles and tools they need to perform the quantitative analyses of the neuroelectrophysiological approaches, including both conventional and emerging ones, prevalently used in neuroscience research and neuroprosthetics. The content grows out of a course on Neuroengineering and Neuroprosthetics, which the author has taught already several times. The key problems the author addresses include (1) the universal operating mechanisms of neuroelectrophysiological approaches, (2) proper configuration of each approach, and (3) proper interpretation of the resulting signals. Efforts are made both to extract the universal principles underlying this common class of approaches and discern the unique properties of each individual approach. To address these important problems, equivalent electrical circuit modeling and signal analysis are used to unravel the functioning mechanisms and principles and provide sound interpretations to the associated signals and phenomena. This book aims to derive analytical solutions to these equivalent circuits, which can offer clear and complete mechanistic insights to the underlying biophysics.

This third edition overviews the essential contemporary topics of neuroengineering, from basic principles to the state-of-the-art, and is written by leading scholars in the field. The book covers neural bioelectrical measurements and sensors, EEG signal processing, brain-computer interfaces, implantable and transcranial neuromodulation, peripheral neural interfacing, neuroimaging, neural modelling, neural circuits and system identification, retinal bioengineering and prosthetics, and neural tissue engineering. Each chapter is followed by homework questions intended for classroom use. This is an ideal textbook for students at the graduate and advanced undergraduate level as well as academics, biomedical engineers, neuroscientists, neurophysiologists, and industry professionals seeking to learn the latest developments in this emerging field.Advance Praise for Neural Engineering, 3rd Edition: "A comprehensive and timely contribution to the ever growing field of neural engineering. Bin He's edited volume provides chapters that cover both the fundamentals and state-of-the-art developments by the world's leading neural engineers." Dr. Paul Sajda, Department of Biomedical Engineering, Electrical Engineering and Radiology, Columbia University "Neural Engineering, edited by Prof. He, is an outstanding book for students entering into this fast evolving field as well as experienced researchers. Its didactic and comprehensive style, with each chapter authored by leading scientific authorities, provides the ultimate reference for the field." Dr. Dario Farina, Department of Bioengineering, Imperial College London, London, UK "Neural Engineering has come of age. Major advances have made possible prosthesis for the blind, mind control for quadraplegics and direct intervention to control seizures in epilepsy patients. Neural Engineering brings together reviews by leading researchers in this flourishing field. Dr. Terrence Sejnowski, Salk Institute for Biolgical Studies and UC San Diego

This book compiles the latest research on the multifarious roles of microbial enzymes, and provides an overview of microbial enzymes and biotechnologies. It discusses the use of microbial enzymes in innovative areas like nanomedicine and synthetic biotechnology, as well as the use of starch digesting enzymes and bioactive proteins as biotherapeutics, all of which have applications in modern drug discovery processes. The book also examines the concept of microbial biotransformation and protein engineering, and covers topics such as the immobilization of therapeutic enzymes, bioengineering of enzymes for bioactive compounds, the production of hydrolytic and oxidative enzymes from plant raw materials, and prebiotics and probiotics. Given its multidisciplinary scope, this book will appeal to researchers and industry experts in the fields of microbiology, biotechnology and molecular medicine.

This book comprises select proceedings of the international conference ETAEERE 2020. This volume covers latest research in advanced approaches in automation, control based devices, and adaptive learning mechanisms. The contents discuss the complex operations and behaviors of different systems or machines in different environments. Some of the areas covered include control of linear and nonlinear systems, intelligent systems, stochastic control, knowledge-based systems applications, fault diagnosis and tolerant control, and real-time control applications. The contents of this volume can be useful for researchers as well as professionals working in control and automation.

This book provides an in-depth description and discussion of different multi-modal diagnostic techniques for cancer detection and treatment using exact optical methods, their comparison, and combination. Coverage includes detailed descriptions of modern state of design for novel methods of optical non-invasive cancer diagnostics; multi-modal methods for earlier cancer diagnostic enhancing the probability of effective cancer treatment; modern clinical trials with novel methods of clinical cancer diagnostics; medical and technical aspects of clinical cancer diagnostics, and long-term monitoring. Biomedical engineers, cancer researchers, and scientists will find the book to be an invaluable resource. Introduces optical imaging strategies; Focuses on multimodal optical diagnostics as a fundamental approach; Discusses novel methods of optical non-invasive cancer diagnostics.

This is the first book about the "Kenzan" method for scaffold-free biofabrication, which does not rely on biomaterials as scaffolds to ensure correct multicellular spheroid positioning for building three dimensional construct only made from cells. The book explains the basic principles and concepts of the microneedle-based ("Kenzan") method of building surgically-implantable tissue constructs using robotic cell spheroid-based three-dimensional bioprinting, a novel technology that opens up unique opportunities for the bioengineering of tissues and organs. First book on the novel Kenzan method of tissue engineering; Explains basic concepts and applications for organ regeneration modeling; Introduces a unique robotic system for scaffold-free cell construction.

This book covers virtually all aspects of image formation in medical imaging, including systems based on ionizing radiation (x-rays, gamma rays) and non-ionizing techniques (ultrasound, optical, thermal, magnetic resonance, and magnetic particle imaging) alike. In addition, it discusses the development and application of computer-aided detection and diagnosis (CAD) systems in medical imaging. Given its coverage, the book provides both a forum and valuable resource for researchers involved in image formation, experimental methods, image performance, segmentation, pattern recognition, feature extraction, classifier design, machine learning / deep learning, radiomics, CAD workstation design, human-computer interaction, databases, and performance evaluation.

This book discusses computer-supported medical diagnosis with a particular focus on ovarian tumor diagnosis - since ovarian cancer is difficult to diagnose and has high mortality rates, especially in Central and Eastern Europe. It presents the theoretical foundations (both medical and mathematical) of the intelligent OvaExpert system, which supports decision-making in tumor diagnosis. OvaExpert was created primarily to help gynecologists predict the malignancy of ovarian tumors by applying the existing diagnostic models and using modern methods of computational intelligence that accommodate imprecise and imperfect medical data, both of which are common features of everyday medical practice. The book presents novel methods based on interval-valued fuzzy sets and the theory of their cardinalities.

This book focuses on the implementation of Artificial Intelligence in Business, Education and Healthcare, It includes research articles and expository papers on the applications of Artificial Intelligence on Decision Making, Entrepreneurship, Social Media, Healthcare, Education, Public Sector, FinTech, and RegTech. It also discusses the role of Artificial Intelligence in the current COVID-19 pandemic, in the health sector, education, and others. It also discusses the impact of Artificial Intelligence on decision-making in vital sectors of the economy.

This book introduces modeling and simulation of linear time invariant systems and demonstrates how these translate to systems engineering, mechatronics engineering, and biomedical engineering. It is organized into nine chapters that follow the lectures used for a one-semester course on this topic, making it appropriate for students as well as researchers. The author discusses state space modeling derived from two modeling techniques and the analysis of the system and usage of modeling in control systems design. It also contains a unique chapter on multidisciplinary energy systems with a special focus on bioengineering systems and expands upon how the bond graph augments research in biomedical and bio-mechatronics systems.

This book presents a comprehensive study covering the design and application of microwave sensors for glucose concentration detection, with a special focus on glucose concentration tracking in watery and biological solutions. This book is based on the idea that changes in the glucose concentration provoke variations in the dielectric permittivity of the medium. Sensors whose electrical response is sensitive to the dielectric permittivity of the surrounding media should be able to perform as glucose concentration trackers. At first, this book offers an in-depth study of the dielectric permittivity of water-glucose solutions at concentrations relevant for diabetes purposes; in turn, it presents guidelines for designing suitable microwave resonators, which are then tested in both water-glucose solutions and multi-component human blood plasma solutions for their detection ability and sensitivities. Finally, a portable version is developed and tested on a large number of individuals in a real clinical scenario. All in all, the book reports on a comprehensive study on glucose monitoring devices based on microwave sensors. It covers in depth the theoretical background, provides extensive design guidelines to maximize sensitivity, and validates a portable device for applications in clinical settings.

This book presents novel and advanced topics in Medical Image Processing and Computational Vision in order to solidify knowledge in the related fields and define their key stakeholders. It contains extended versions of selected papers presented in VipIMAGE 2013 - IV International ECCOMAS Thematic Conference on Computational Vision and Medical Image, which took place in Funchal, Madeira, Portugal, 14-16 October 2013. The twenty-two chapters were written by invited experts of international recognition and address important issues in medical image processing and computational vision, including: 3D vision, 3D visualization, colour quantisation, continuum mechanics, data fusion, data mining, face recognition, GPU parallelisation, image acquisition and reconstruction, image and video analysis, image clustering, image registration, image restoring, image segmentation, machine learning, modelling and simulation, object detection, object recognition, object tracking, optical flow, pattern recognition, pose estimation, and texture analysis. Different applications are addressed and described throughout the book, comprising: biomechanical studies, bio-structure modelling and simulation, bone characterization, cell tracking, computer-aided diagnosis, dental imaging, face recognition, hand gestures detection and recognition, human motion analysis, human-computer interaction, image and video understanding, image processing, image segmentation, object and scene reconstruction, object recognition and tracking, remote robot control, and surgery planning. This volume is of use to researchers, students, practitioners and manufacturers from several multidisciplinary fields, such as artificial intelligence, bioengineering, biology, biomechanics, computational mechanics, computational vision, computer graphics, computer science, computer vision, human motion, imagiology, machine learning, machine vision, mathematics, medical image, medicine, pattern recognition, and physics.

This book provides a comprehensive overview of the latest advances in a wide range of biomaterials for the development of smart and advanced functional materials. It discusses the fundamentals of bio-interfacial interactions and the surface engineering of emerging biomaterials like metals and alloys, polymers, ceramics, and composites/nanocomposites. In turn, the book addresses the latest techniques and approaches to engineering material surfaces/interfaces in, e.g., implants, tissue engineering, drug delivery, antifouling, and dentistry. Lastly, it summarizes various challenges in the design and development of novel biomaterials. Given its scope, it offers a valuable source of information for students, academics, physicians and particularly researchers from diverse disciplines such as material science and engineering, polymer engineering, biotechnology, bioengineering, chemistry, chemical engineering, nanotechnology, and biomedical engineering for various commercial and scientific applications.

This book covers the development of biotechnology based on carbon nanostructures, with a focus on nanotubes, addressing also fullerenes and amorphous carbons. The book is divided into 7 chapters, addressing tissue engineering, genetic engineering and therapy, as well as the environmental and health impacts of carbon nanostructures.

This book discusses various applications of machine learning using a new approach, the dynamic wavelet fingerprint technique, to identify features for machine learning and pattern classification in time-domain signals. Whether for medical imaging or structural health monitoring, it develops analysis techniques and measurement technologies for the quantitative characterization of materials, tissues and structures by non-invasive means. Intelligent Feature Selection for Machine Learning using the Dynamic Wavelet Fingerprint begins by providing background information on machine learning and the wavelet fingerprint technique. It then progresses through six technical chapters, applying the methods discussed to particular real-world problems. Theses chapters are presented in such a way that they can be read on their own, depending on the reader's area of interest, or read together to provide a comprehensive overview of the topic. Given its scope, the book will be of interest to practitioners, engineers and researchers seeking to leverage the latest advances in machine learning in order to develop solutions to practical problems in structural health monitoring, medical imaging, autonomous vehicles, wireless technology, and historical conservation.

This book gathers extended contributions to the workshop on Long-Term Digital Care, LTC-2021, organized by the Universita Politecnica delle Marche (UNIVPM), Ancona, Italy, and the Hochschule Konstanz (HTWG), Germany, in November 2021, and funded by the DAAD Joint Mobility Program. It covers innovative, practice-oriented approaches that are expected to foster digital health care, with a special focus on improving internationalization and accessibility. The book, which bridges between technological and social disciplines, reports on selected studies with the main goals of: establishing a comparison of Long-Term Digital Care approaches, with focus on exchange and networking processes; defining practical roadmaps for digital social innovation; establishing concepts and methods for process evaluation and sustainability. It offers a timely snapshot on technologies for patient monitoring and assistant systems, medical data analysis and image processing, digital platforms and advanced diagnostics techniques, and discusses important concepts relating to traceable process evaluation, networking and accessibility. It aims at informing, yet it is also intended to inspire and foster a stronger collaboration across disciplines, countries, as well as academic and professional institutions.