Biomedical engineering / Medical engineering Books

Book SynopsisWhen a patient is brought into a trauma centre in extremis, or becomes that way during a hospital stay, the intervention mantra is airway, breathing and circulation - the ABC's. This book provides the nonspecialist physician, and those in the participating and supporting professions, with a quick overview of the meaning of the testing terms in this environment. Many tests, added singly or in small groups over time as clinical and measurement technology evolved, but whose rationale may have become less clear, are defined and explained.The format here is simple - a brief overview of the physiologic environment and then the encyclopedic dictionary of the terminology. Included are common terms as well as some of the confusing uses of terms, besides lesser known facts influencing their clinical use on the basis of the analytical, medical, and managerial experience of the authors.

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Book SynopsisThis textbook teaches bioengineers critical concepts about protein three dimensional structures, how proteins fold, and how the folding affects the functioning of the protein. Protein folding has profound effects on the discovery of biopharmaceutical drugs (especially the transport of immunological compounds to their site of action) as well as on tissue engineering. Dr. Dods covers topics in easily understood terms through the use of glossaries heading each chapter and footnotes and summaries at the end of each chapter. The chapters cover disordered proteins and large sequences of disorder that exists within proteins, secondary structure (α-helix and β-pleated structure), tertiary and quaternary structure, post-translational changes, proteopathies, bioengineering approaches used to study protein folding, and computer software for protein folding. For each of these topics the elements of biomolecular imaging, cellular and tissue engineering, and health care systems engineering are built. Molecular engineering concepts such as site-directed mutagenesis are addressed. For reinforcement of the concepts presented in this text, activities and problems (Queries) are included in the chapter. Table of ContentsPreface.- Primary Structure.- Secondary Structure.- Tertiary Structure.- Quaternary Structure.- Post-Translational Changes.- Proteopathies.- Unusual Proteins.- Techniques Used to Study Protein Folding.- Software for Protein Folding.- Bioengineering.- Postscript.

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Book SynopsisThis book presents the state of the art in mathematical research on modelling the mechanics of biological systems – a science at the intersection between biology, mechanics and mathematics known as mechanobiology. The book gathers comprehensive surveys of the most significant areas of mechanobiology: cell motility and locomotion by shape control (Antonio DeSimone); models of cell motion and tissue growth (Benoît Perthame); numerical simulation of cardiac electromechanics (Alfio Quarteroni); and power-stroke-driven muscle contraction (Lev Truskinovsky).Each section is self-contained in terms of the biomechanical background, and the content is accessible to all readers with a basic understanding of differential equations and numerical analysis. The book disentangles the phenomenological complexity of the biomechanical problems, while at the same time addressing the mathematical complexity with invaluable clarity. The book is intended for a wide audience, in particular graduate students and applied mathematicians interested in entering this fascinating field.Table of Contents- Cell Motility and Locomotion by Shape Control. - Models of Cell Motion and Tissue Growth. - Segregated Algorithms for the Numerical Simulation of Cardiac Electromechanics in the Left Human Ventricle. - Power-Stroke-DrivenMuscle Contraction.

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Book SynopsisMechanics of Biological Systems & Micro-and Nanomechanics, Volume 5 of the Proceedings of the 2020 SEM Annual Conference & Exposition on Experimental and Applied Mechanics, the fifth volume of seven from the Conference, brings together contributions to important areas of research and engineering. The collection presents early findings and case studies on a wide range of topics, including:Cell Mechanics & Traumatic Brain InjuryMicromechanical TestingAdhesion and FractureMEMS Devices and TechnologyNano-scale Deformation Mechanisms1D & 2D MaterialsTribology & WearResearch and Applications in ProgressTable of ContentsChapter 1. Determination of Texture Properties of White Long Turnip Flesh.- Chapter 2. Impact Testing of a Commercial Poly-Lactic Acid.- Chapter 3. Underwater Explosion Gas Bubble Collapse in the Vicinity of a Rigid Boundary.- Chapter 4. Optimization for Improved Energy Absorption and the Effect of Density Gradation in Cellular Materials.- Chapter 5. Quantifying Ultrasonic Deformation of Cell Membranes with Ultra-High Speed Imaging.- Chapter 6. A Mathematical Model of Nitric Oxide Mechanotransduction in Brain.- Chapter 7. Evaluating the Application 0f DIC on Heartbeat Detection by Using a Self-Developed Artery Vessel Simulator.- Chapter 8. Measuring Strain Distribution of Knee Cartilage Using Digital Volume Correlation.- Chapter 9. Characterization of Shear Band Nucleation and Propagation in Bulk Metallic Glasses.- Chapter 10. Suppression of Parkisonian Hand Tremors.- Chapter 11. Biomechanical Testing of Human Red Blood Cells Under Controlled Oxygen Tension.- Chapter 12. High Speed Holographic Shape and Vibration Measurement of the Semi-transparent Tympanic Membrane.- Chapter 13. Adhesion Index- A Novel Bio-compatibility Assessment Standard for Medical Devices.- Chapter 14. Evaluate the Fidelity of Synthetic Tissues Used in Escharotomy Simulators.- Chapter 15. Bacterial Cell Wall Glycopolymers Affect Polymer Chain Alignment and Mechanics of Streptococcus mutans.- Chapter 16. Characterization of Reversible Tablet Sliding In Nacre From Haliotis Rufescens (Red Abalone).- Chapter 17. Failure of Three-Tab Shingle System Subjected to Wind Gusts up to 150 MPH – A DIC Based Study.- Chapter 18. Design and Rapid Prototyping of Fiber Optic-Based Micro-Force Sensors by Two-Photon Polymerization.- Chapter 19. Experimental study of shear and tensile properties of LIGA Ni-Fe and Ni-Co alloys at quasi-static and intermediate strain rates.

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Book SynopsisThis edited book explores the use of technology to enable us to visualise the life sciences in a more meaningful and engaging way. It will enable those interested in visualisation techniques to gain a better understanding of the applications that can be used in visualisation, imaging and analysis, education, engagement and training. The reader will also be able to learn about the use of visualisation techniques and technologies for the historical and forensic settings.The reader will be able to explore the utilisation of technologies from a number of fields to enable an engaging and meaningful visual representation of the biomedical sciences.In this volume, there are chapters which examine forensic and historical visualisation techniques and digital reconstruction, ultrasound, virtual learning resources and patient utilised software and hardware. The use of HoloLens as a disruptive technology is discussed as well as historical items as a feature in a modern medical curriculum. It concludes with a fascinating chapter on pulse extraction from facial videos. All in all, this volume has something for everyone whether that is faculty, students, clinicians and forensic practitioners, patients, or simply having an interest in one or more of these areas.Table of ContentsPlease see attachment

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Book SynopsisThis book explores the application of deep learning techniques within a particularly difficult computational type of computer vision (CV) problem ─ super-resolution (SR). The authors present and discuss ways to apply computational intelligence (CI) methods to SR. The volume also explores the possibility of using different kinds of CV techniques to develop and enhance the tools/processes related to SR. The application areas covered include biomedical engineering, healthcare applications, medicine, histology, and material science. The book will be a valuable reference for anyone concerned with multiple multimodal images, especially professionals working in remote sensing, nanotechnology and immunology at research institutes, healthcare facilities, biotechnology institutions, agribusiness services, veterinary facilities, and universities.Table of ContentsPart I. A Panorama of Computational Intelligence in Super-Resolution Imaging.- Chapter 1. Introduction to Computational Intelligence and Super-Resolution.- Chapter 2. Review on Fuzzy Logic Systems with Super-Resolved Imaging and Metaheuristics for Medical Applications.- Chapter 3. Super-Resolution with Deep Learning Techniques-A Review.- Chapter 4. A Comprehensive Review of CAD Systems in Ultrasound and Elastography for Breast Cancer Diagnosis.- Part II. State-of-the-Art Computational Intelligence in Super-Resolution Imaging.- Chapter 5. Pictorial Image Synthesis from Text and Its Super-Resolution using Generative Adversarial Networks.- Chapter 6. Analysis of Lossy and Lossless Compression Algorithms for Computed Tomography Medical Images Based on Bat and Simulated Annealing Optimization Techniques.- Chapter 7. Super resolution-based Human-Computer Interaction System for Speech and Hearing Impaired using Real-Time Hand Gesture Recognition System.- Chapter 8. Lossy Compression of Noisy Images Using Autoencoders for Computer Vision Applications.- Chapter 9. Recognition of Handwritten Nandinagari Palm Leaf Manuscript Tex.- Chapter 10. Deep Image Prior and Structural Variation Based Super-Resolution Network for Fluorescein Fundus Angiography Images.- Chapter 11. Lightweight Spatial Geometric Models Assisting Shape Description and Retrieval and Relative Global Optimum Based Measure for Fusion.- Chapter 12. Dual-Tree Complex Wavelet Transform and Deep CNN-based Super-Resolution for Video Inpainting with Application to Object Removal and Error Concealment.- Chapter 13. Super-Resolution Imaging and Intelligent solution for Classification, Monitoring and Diagnosis of Alzheimer's Disease.- Chapter 14. Image Enhancement using Non-Local Prior and Gradient Residual Minimization for Improved Visualization of Deep Underwater Image.- Chapter 15. Relative Global Optimum Based Measure for Fusion Technique in Shearlet Transform Domain for Prognosis of Alzheimer Disease.

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Book SynopsisThis book reviews the current state of epigenetics and proteomics of leukemia and introduces the methods that are important to process and evaluate these factors in leukemia. In particular, epigenetic modifiers and their inhibitors in leukemia treatment as well as approaches to the epigenetic treatment of leukemia are covered. Various computational methods for proteome analysis are also described in detail, including 2DE fractionation and visualization, proteomic data processing, image acquisition and data anlaysis, and more. Protein localization in leukemia is also covered, in addition to the future of leukemia therapy. Epigenetics and Proteomics of Leukemia is an ideal book for advanced biomedical scientists and students, medical doctors and students, bioinformatics and health informatics researchers, computational biologists, structural biologists, systems biologists, and bioengineers.Table of ContentsOverview / IntroductionSection I: Epigenetics in Leukemia Chapter 1: Genetic and Epigenetic Alterations in Leukemia Chapter 2: Epigenetic Modifiers and Their Inhibitors in Leukemia Treatment Chapter 3: Chromatin Remodeling during Leukemia Cell Proliferation and Differentiation DNA Methylation and Epigenetic Regulation Chromatin Functional Regulation by Histone Modification Chapter 4: Approaches to Epigenetic Treatment of LeukemiaSection II: Proteomics in Leukemia Chapter 5: Proteome in Leukemic vs. Differentiated Leukemia Cells Chapter 6: Protein Phosphorylation in Leukemia Chapter 7: Computational Methods for Proteome Analysis 2DE Fractionation and Visualization Proteomic Data Processing Proteomic Data Analysis Image Acquisition and Data AnalysisSection III: Protein Localization in Leukemia Chapter 8: Protein Translocation into the Nucleus during Leukemia Cell Differentiation Chapter 9: Protein Visualization in Leukemic Cells Chapter 10: Computational Methods for Protein Localization Estimation Fluorescent Image Processing Fluorescent Image Acquisition and AnalysisSection IV: Future Therapy in Leukemia

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Book SynopsisThe book highlights recent developments in the field of biomedical sensors with a focus on technology and design aspects of novel sensors and sensor systems. Diagnosis plays a central role in healthcare and requires a variety of novel biomedical sensors and sensor systems. This creates an enormous ongoing demand for sensors for both the everyday life as well as for medical care. Technologies concerning the analysis of human activities as well as for the early detection of diseases are moving into the focus of interest and form the basis for supporting human health and quality of life. As such, the book offers a key reference guide about novel medical sensors and systems for students, engineers, sensors designers and technicians.Table of ContentsA Survey of Human Action Recognition using Accelerometer Data.- Ultra Thin Nanocomposite In-Sole Pressure Sensor Matrix for Gait Analysis.- Piezo-resistive Pressure and Strain Sensors for Biomedical and Tele-manipulation Applications.- Wireless Body Sensor Networks with Enhanced Reliability by Data Aggregation based on Machine Learning Algorithms.- Accelerated Human Movement Detection Algorithm using combined Global Descriptors on GPU Based on CUDA.- Human Breathing Monitoring by Graphene Oxide Based Sensors.- Impediametric Detection of Human Interleukin 10 on Diazonium Salt Alectroaddressed Gold Microelectrode Surfaces.- Review on Recent Advances in Urinary Biomarkers based Electrochemical Sensors for Prostate Cancer Detection.- Recent Advances in Ultrasensitive miRNA Biomarkers Detection.- Early Detection of Helicobacter Pylori Bacteria in Complex Samples.

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Book SynopsisThis book reviews the convergence technologies like cloud computing, artificial intelligence (AI) and Internet of Things (IoT) in healthcare and how they can help all stakeholders in the healthcare sector. The book is a proficient guide on the relationship between AI, IoT and healthcare and gives examples into how IoT is changing all aspects of the healthcare industry. Topics include remote patient monitoring, the telemedicine ecosystem, pattern imaging analytics using AI, disease identification and diagnosis using AI, robotic surgery, prediction of epidemic outbreaks, and more. The contributors include applications and case studies across all areas of computational intelligence in healthcare data. The authors also include workflow in IoT-enabled healthcare technologies and explore privacy and security issues in healthcare-based IoT.Table of ContentsIntroduction.- Remote Patient Monitoring Using IoT, Cloud Computing and AI.- The Internet of M-Health Things (m-IoT).- Healthcare Data Storage Options Using Cloud.- Cloud-based telemedicine ecosystem and adoption of AI.- The benefits and risks of Integrating IoT, AI in cloud services for healthcare.- Pattern Imaging Analytics using Artificial Intelligence techniques.- Identifying Diseases and Diagnosis using Artificial Intelligence.- Robotic Surgery.- Personalized Treatment with the help of IoT Artificial Intelligence and cloud.- Predicting Epidemic Outbreaks using IoT Artificial Intelligence and Cloud.- Crowd sourced Data Collection.- Maintaining Healthcare Records using Cloud storage.- Privacy and Security issues in health care based IoT.- IoT Healthcare Applications.- Applications of AI, IoT and Cloud computing in battling COVID-19.- Intelligent Health Informatics for Handling the COVID-19 Situation.- Conclusion.

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Book SynopsisThis textbook introduces the concepts and tools that biomedical and chemical engineering students need to know in order to translate engineering problems into a numerical representation using scientific fundamentals. Modeling concepts focus on problems that are directly related to biomedical and chemical engineering. A variety of computational tools are presented, including MATLAB, Excel, Mathcad, and COMSOL, and a brief introduction to each tool is accompanied by multiple computer lab experiences. The numerical methods covered are basic linear algebra and basic statistics, and traditional methods like Newton’s method, Euler Integration, and trapezoidal integration. The book presents the reader with numerous examples and worked problems, and practice problems are included at the end of each chapter.Table of ContentsList of Examples.- List of Definitions.- Foreword.- Modern Engineering.- Mathematical Fundamentals .- Engineering Modeling.- Computational Problem Solving.- Introduction to MATLAB.- Linear Algebra.- Solving Problems Numerically.- Spreadsheets.- Basic Statistics and Probability.- Linearity.- Forces.- Classes of Numerical Problems.- Introduction to COMSOL.- Tips on Presenting Your Work.- Technical Writing Suggestions.- Lecture Notes.

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Book SynopsisThis book lists current and potential biomedical uses of computational intelligence methods. These methods are used in diagnostics and treatment of such diseases as cancer, cardiac diseases, pneumonia, stroke, and COVID-19. Many biomedical problems are difficult; so, often, the current methods are not sufficient, new methods need to be developed. To confidently apply the new methods to critical life-and-death medical situations, it is important to first test these methods on less critical applications. The book describes several such promising new methods that have been tested on problems from agriculture, computer networks, economics and business, pavement engineering, politics, quantum computing, robotics, etc. This book helps practitioners and researchers to learn more about computational intelligence methods and their biomedical applications—and to further develop this important research direction.Table of ContentsPart I: Biomedical Applications of Computational Intelligence Techniques.- Bilattice CADIAG-II: Theory and Experimental Results.- A Combination Model of Robust Principal Component Analysis and Multiple Kernel Learning for Cancer Patient Stratification.- Attention U-Net with Active Contour based Hybrid Loss for Brain Tumor Segmentation.- Refining Skip Connections by Fusing Multi-scaled Context in Neural Network for Cardiac MR Image Segmentation.- End-to-end Hand Rehabilitation System with Single-shot Gesture Classification for Stroke Patients.- Feature Selection based on Shapley Additive Explanations on Metagenomic Data for Colorectal Cancer Diagnosis.- Clinical Decision Support Systems for Pneumonia Diagnosis using Gradient-weighted Class Activation Mapping and Convolutional Neural Networks.- Improving 3D Hand Pose Estimation with Synthetic RGB Image Enhancement using RetinexNet and Dehazing.- Imbalance in Learning Chest X-ray Images for COVID-19 Detection.- Deep Learning based COVID-19 Diagnosis by Joint Classification and Segmentation.- Part II: General Computational Intelligence Techniques and Their Applications.- Why It Is Sufficient to Have Real-Valued Amplitudes in Quantum Computing.

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Book SynopsisThis book provides in depth knowledge about critical factors involved in the success of pervasive healthcare. The book first presents critical components and importance of pervasive healthcare. The authors then give insight into the pervasive healthcare information systems and key consideration related to remote patient monitoring and safety. The book provides in-depth discussion about the security issues and protocols for pervasive healthcare. This book explores concepts and techniques behind the successive pervasive healthcare systems by providing in-depth knowledge about patient empowerment, remote patient monitoring, network establishment and protocols for effective pervasive healthcare. The book also provides case studies in the field. It is an ideal resource for researchers, students and healthcare organizations to get insight about the state of the art in pervasive healthcare systems. Provides current research, developments, and applications in pervasive healthcare; Includes technologies such as machine learning, cryptography, fog computing, and big data in the advancement of e-healthcare; Pertinent for researchers, students, practitioners and healthcare decision makers. Table of ContentsIntroduction.- Hybrid Machine Learning Techniques for Reliability and Security of Healthcare IoT Data.- Cryptographic Operations and Approaches for Privacy of IoT Data in healthcare.- Standards and Approaches for use of Blockchain Technology in Pervasive Healthcare.- Prediction of REM sleep behaviour disorder using EEG signal applied EMG 1 EMG 2 channel.- Healthcare Assisted by Fog Computing for Secure Data Transmission in Healthcare IoTs.- Experimental approaches for prediction of breast cancer diseases using clustering concepts.- Incident reporting system for Pervasive Healthcare.- Blockchain Application for Healthcare record management.- Applying Machine Learning Approach for Disease prediction.- Mobile system for remote patient monitoring.- Securing Pervasive Healthcare system.- Remote Patient Monitoring: Benefits, Applications and Issues.- Self-reporting in Pervasive Healthcare.- Role of Big Data Analytics in Pervasive Healthcare.- ML Techniques for remote patient activity monitoring.- Trust Management in Pervasive Healthcare.- Disease Detection using Android App.- Application of computer assisted machine learning based techniques in detecting neurological disorders.- Conclusion.

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Book SynopsisThis book is a proficient guide to understanding artificial intelligence (IoT) and the Internet of Medical Things (IoMT) in healthcare. The book provides a comprehensive study on the applications of AI and IoT in various medical domains. The book shows how the implementation of innovative solutions in healthcare is beneficial, and IoT, together with AI, are strong drivers of the digital transformation regardless of what field the technologies are applied in. Therefore, this book provides a high level of understanding with the emerging technologies on the Internet of Things, wearable devices, and AI in IoMT, which offers the potential to acquire and process a tremendous amount of data from the physical world. Table of ContentsIntroduction.- Insights on Cognitive Neuroscience Based on Deep Neural Networks.- Robot Assisted Treatment for Children with Learning Disabilities.- Machine learning based approaches for detecting COVID-19 using clinical data in an IoMT environment.- COVID-19 Epidemic Analysis using Deep Learning Approaches.- A Cancer Diagnosis System for Detection of Lung Cancers in an IOMT Environment.- An IOMT-Based Diagnosis System for COVID-19.- Prediction of COVID-19 Epidemic Curve of India: A Machine Learning Approach.- Internet of Medical Things (IoMT) services during COVID-19 pandemic: Roles, challenges, and applications.- Tackling Security and Privacy in Internet of Medical Things (IoMT).- Lightweight AI-Based Security Solutions in IoMT.- Conclusion.

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Book SynopsisThis book describes the utilization of different soft computing techniques and their optimization for providing an accurate and efficient medical diagnosis. The proposed method provides a precise and timely diagnosis of the risk that a person has to develop a particular disease, but it can be adaptable to provide the diagnosis of different diseases. This book reflects the experimentation that was carried out, based on the different optimizations using bio-inspired algorithms (such as bird swarm algorithm, flower pollination algorithms, and others). In particular, the optimizations were carried out to design the fuzzy classifiers of the nocturnal blood pressure profile and heart rate level. In addition, to obtain the architecture that provides the best result, the neurons and the number of neurons per layers of the artificial neural networks used in the model are optimized. Furthermore, different tests were carried out with the complete optimized model. Another work that is presented in this book is the dynamic parameter adaptation of the bird swarm algorithm using fuzzy inference systems, with the aim of improving its performance. For this, different experiments are carried out, where mathematical functions and a monolithic neural network are optimized to compare the results obtained with the original algorithm. The book will be of interest for graduate students of engineering and medicine, as well as researchers and professors aiming at proposing and developing new intelligent models for medical diagnosis. In addition, it also will be of interest for people working on metaheuristic algorithms and their applications on medicine.

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Book SynopsisThis open access book presents thirteen outstanding doctoral dissertations in Information Technology from the Department of Electronics, Information and Bioengineering, Politecnico di Milano, Italy. Information Technology has always been highly interdisciplinary, as many aspects have to be considered in IT systems. The doctoral studies program in IT at Politecnico di Milano emphasizes this interdisciplinary nature, which is becoming more and more important in recent technological advances, in collaborative projects, and in the education of young researchers.Accordingly, the focus of advanced research is on pursuing a rigorous approach to specific research topics starting from a broad background in various areas of Information Technology, especially Computer Science and Engineering, Electronics, Systems and Control, and Telecommunications.Each year, more than 50 PhDs graduate from the program. This book gathers the outcomes of the thirteen best theses defended in 2020-21 and selected for the IT PhD Award. Each of the authors provides a chapter summarizing his/her findings, including an introduction, description of methods, main achievements and future work on the topic. Hence, the book provides a cutting-edge overview of the latest research trends in Information Technology at Politecnico di Milano, presented in an easy-to-read format that will also appeal to non-specialists.

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Book SynopsisHeavily updated and revised from the successful first edition Appeals to a wide range of informatics professionals, from students to on-site medical information system administrators Includes case studies and real world system evaluations References and self-tests for feedback and motivation after each chapter Great for teaching purposes, the book is recommended for courses offered at universities such as Columbia University Precise definition and use of terms Table of ContentsChallenges of Evaluation in Biomedical Informatics.- Evaluation as a Field.- Determining What to Study.- The Structure of Objectivist Studies.- Measurement Fundamentals.- Developing and Improving Measurement Methods.- The Design of Demonstration Studies.- Analyzing the Results of Demonstration Studies.- Subjectivist Approaches to Evaluation.- Performing Subjectivist Studies in the Qualitative Traditions Responsive to Users.- Economic Aspects of Evaluation.- Proposing and Communicating the Results of Evaluation Studies: Ethical, Legal, and Regulatory Issues.

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Book SynopsisChallenges in Mechanics of Time-Dependent Materials, Mechanics of Biological Systems and Materials, and Micro-and Nanomechanics, Volume 2 of the Proceedings of the 2021 SEM Annual Conference & Exposition on Experimental and Applied Mechanics, the second volume of four from the Conference, brings together contributions to this important area of research and engineering. The collection presents early findings and case studies on fundamental and applied aspects of Experimental Mechanics, including papers in the following general technical research areas: Characterization Across Length Scales Extreme Conditions & Environmental Effects Damage, Fatigue and Fracture Structure, Function and Performance Rate Effects in Elastomers Viscoelasticity & Viscoplasticity Research in Progress Extreme Nanomechanics In-Situ Nanomechanics Expanding Boundaries in Metrology Micro and Nanoscale Deformation MEMS for Actuation, Sensing and Characterization 1D & 2D Materials Cardiac Mechanics Cell Mechanics Biofilms and Microbe Mechanics Traumatic Brain Injury Orthopedic Biomechanics Ligaments and Soft MaterialsTable of ContentsChapter 1. Advance of Collaborative Twinning Fields in Magnesium AZ31 via the Strain and Residual Intensity Channels in Microscopic Image Correlation.- Chapter 2. Time Dependent Materials Response of Transverse Impact on Model Beams.- Chapter 3. Wearable Device for Tremor Suppression.- Chapter 4. Fractional Viscoelastic Modeling Enabling Accurate Atomic Force Microscope Contact Resonance Spectroscopy Characterization.- Chapter 5. A Method for Measuring Displacement and Strain Around a Crack of Rubber Sheets Using Digital Image Correlation.- Chapter 6. Understanding the Nano-scale Deformation Mechanisms of Polyurea from in-situ AFM Tensile Experiments.- Chapter 7. Porosity Determination and Classification of Laser Powder Bed Fusion AlSi10Mg Dogbones Using Machine Learning.- Chapter 8. Constitutive Modelling of the Dynamic Behavior of Cork Material.- Chapter 9. The Penetration Dynamics of a Violent Cavitation Bubble through a Hydrogel-water Interface.- Chapter 10. Effects of Hydration on the Mechanical Response of a PVA Hydrogel.- Chapter 11. Gaussian Process to Identify Hydrogel Constitutive Model.- Chapter 12. Effect of Host Surface Factors on Biocompatible Adhesion Index.- Chapter 13. Mass Mitigation in Structural Designs Via Dynamic Properties.- Chapter 14. High Temperature Burst Creep Properties of Nuclear-grade FeCrAl Fuel Cladding.

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Book SynopsisThis book originates from the idea to adapt biomedical engineering and medical informatics to current clinical needs and proposes a paradigm shift in medical engineering, where the limitations of technology should no longer be the starting point of design, but rather the development of biomedical devices, software, and systems should stem from clinical needs and wishes. Gathering chapters written by authoritative researchers, working the interface between medicine and engineering, this book presents successful attempts of conceiving technology based on clinical practice. It reports on new strategies for medical diagnosis, rehabilitation, and eHealth, focusing on solutions to foster better quality of life through technology, with an emphasis on patients’ and clinical needs, and vulnerable populations. All in all, the book offers a reference guide and a source of inspiration for biomedical engineers, clinical scientists, physicians, and computer scientists. Yet, it also includes practical information for personnel using biomedical equipment, as well as timely insights that are expected to help health agencies and software firms in their decision-making processes.Table of ContentsIntroduction.- Medicine Based Engineering and Informatics to Foster Patient Physician Relationship.- Statistical Gait Analysis based on surface electromyography.- Brain-computer interfaces with functional electrical stimulation for motor neurorehabilitation: from research to clinical practice.- Biopotential acquisition systems.- Wearable Bioimpedance Measuring Devices.- Predictive cardiovascular engineering: transforming data into future insights on cardiovascular disease.- Engineering special medical devices for vulnerable groups.- Serious games and virtual reality for rehabilitation and follow up of wheelchaired persons.- Society 5.0 and a Human Centred Health Care.

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Book SynopsisThis book aims to highlight the latest achievements in the use of artificial intelligence for digital disease surveillance, pandemic intelligence, as well as public and clinical health surveillance. The edited book contains selected papers presented at the 2021 Health Intelligence workshop, co-located with the Association for the Advancement of Artificial Intelligence (AAAI) annual conference, and presents an overview of the issues, challenges, and potentials in the field, along with new research results. While disease surveillance has always been a crucial process, the recent global health crisis caused by COVID-19 has once again highlighted our dependence on intelligent surveillance infrastructures that provide support for making sound and timely decisions. This book provides information for researchers, students, industry professionals, and public health agencies interested in the applications of AI in population health and personalized medicine.Table of ContentsDigital Technologies for Clinical, Public and Global Health Surveillance.- Imputing Fine-grain Patterns of Mental Health with Statistical Modelling of Online Data.- Lexical and Acoustic Correlates of Clinical Speech Disturbance in Schizo-phrenia.-A Prognostic Tool to Identify Youth at Risk of at Least Weekly Cannabis Use.- Neuro-symbolic Neurodegenerative Disease Modeling as Probabilistic Pro-grammed Deep Kernels.-Self-Disclosure in Opioid Use Recovery Forums.- Identifying Prepubertal Children with Risk for Suicide Using Deep Neural Network Trained on Multimodal Brain Imaging.- Improving Adverse Drug Event Extraction with SpanBERT on Different Text Typologies.- Machine Learning Identification of Self-Reported COVID-19 Symptoms from Tweets in Canada.- RRISK: Analyzing COVID-19 Risk in Food Establishments.- AWS CORD-19 Search: A Neural Search Engine for COVID-19 Literature.- Inferring COVID-19 Biological Pathways from Clinical Phenotypes via Topological Analysis.- The EpiBench Platform to Propel AI/ML-based Epidemic Forecasting: A Prototype Demonstration Reaching Human Expert-level Performance.- Interpretable Classification of Human Exercise Videos through Pose Esti-mation and Multivariate Time Series Analysis.- Interpreting Deep Neural Networks for Medical Imaging using Concept Graphs.- Do Deep Neural Networks Forget Facial Action Units? - Exploring the Ef-fects of Transfer Learning in Health Related Facial Expression Recognition.- Utilizing Predictive Analysis to Aid Emergency Medical Services.- Measuring Physiological Markers of Stress During Conversational Agent Interactions.- EvSys: A Relational Dynamic System for Sparse Irregular Clinical Events.- Predicting Patient Outcomes with Graph Representation Learning.- Patient-Specific Seizure Prediction Using Single Seizure Electroenceph-alography Recording.- Evaluation Metrics for Deep Learning Imputation Models.- Logistic Regression Is Also A Black Box. Machine Learning Can Help.

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Book SynopsisThis book gathers selected papers from the First International Symposium on Bioinformatics and Biomedicine. Issues related to medicine and health care constitute one of the grand challenges faces by the mankind, and this naturally implies a growing interest in these problems among both researchers and scholars, politicians and policymakers, as well as economist. The present values which gather selected papers from the First International Symposium on Bioinformatics and Biomedicine (BioInfoMed’2020) is a recent response to this interests. In the subsequent sections and chapters, it covers a multitude of various topics related to bioinformatics, biomedicine, bioenginering, as well as a broadly perceives healthcare. Issues related to decision making in bioinformatics, biomedicine and health care, mathematical modelling in biomedicine and health care, artificial intelligence in biomedicine and health care, uncertainty and imprecision, notably intuitionistic fuzzy sets with applications in bioinformatics and biomedicine, biomedical approaches and applications, biomedical imaging and image processing, and excitable structures and motor activity are covered.

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Book SynopsisThis book gathers peer-review contributions to the 4th International Workshop on Gerontechnology, IWoG 2021, held on November 23-24, 2021, in Évora, Portugal. They report on cutting-edge technologies and optimized workflows for promoting active aging and assisting elderly people at home, as well as in healthcare centers. They discuss the main challenges in the development, use and delivery of health care services and technologies. Not only they propose solutions for improving in practice the monitoring and management of health parameters and age-related diseases, yet they also describe improved approaches for helping seniors in their daily tasks and facilitating their communication and integration with assistive technologies, thus improving their quality of life, as well as their social integration. All in all, this book provides health professionals, researchers, and service providers with extensive information on the latest trends in the development and practical application of gerontechnology, with a special emphasis on improving quality of life of the elderly. Table of ContentsContigo: Monitoring People’s Activity App for Anomalies Detection.- SAMoA: A Self-Adaptive Mobility Monitoring Framework for MCI Elderly People and their Caregivers.- Blockchain-supported health registry: the claim for a Personal Health Trajectory traceability and how it can be achieved.- A graph-based healthcare system for quantum simulation of medication administration in the aging people.- Distributed Sustainable IoT Architecture for Detecting Loneliness in Isolated Rural Areas.- Software Product Lines for Industrial Robots: A Pilot Case with Arduino.- Accessible and Personalised Environments for the Care of Older People in the Home Environment.- Acceptance of digital tools for healthy aging. New challenges for Nursing.- Satisfaction: a concept based on Functionality and Quality of life to be integrated in a Nursing Care Performance System.- Age-friendly primary health care: A scoping review.

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Book SynopsisThis book serves as an introduction to the concepts of medical biotechnology, with great details about fundamentals and early disciplines of study as well as emerging fields and the latest research. The book follows a chronological order from the earliest discoveries and breakthroughs of medical biotechnology to the latest areas of study. The book contains up-to-date citations for each chapter and section, which makes it easy for the reader to understand the concept and also to follow the latest developments in the particular area. It is an ideal book for undergraduate and graduate students who aspire to derive basic knowledge and are also keen on learning about the latest advancements in the field of medical biotechnology. Table of ContentsChapter 1. The Advent of Medical Biotechnology Dr. Zeenat Farooq, Dr. Mumtaz AnwarChapter 2. Biotechnology in Medicine: FundamentalsDr. Pooja MalhotraChapter 3. Biotechnology in Medicine: Advances-IDr. Hafeez Faridi, Dr. Mohd ShahidChapter 4. Biotechnology in Medicine: Advances IIDr. Zeeshan Zahoor BandayChapter 5. Analytical Techniques in Medical BiotechnologyDr. Shubha PriyamvadaChapter 6. Immunology in Medical BiotechnologyDr. Sajad Ahmad BhatChapter 7. Epigenetics and Medical BiotechnologyDr. Altaf Bhat, Dr. Zeenat FarooqChapter 8. Stem Cell TechnologyDr. Willayat Yousuf WaniChapter 9. Pharmaceutical BiotechnologyD.r Mohammad TauseefChapter 10. Diagnostic and Therapeutic BiotechnologyDr. Ashvinder Raina, Dr. Aadil Hussain BhatChapter 11. Nanotechnology and NanomedicineDr. Abhalaxmi SinghChapter 12. Laboratory Protocols in Medical Biotechnology - IDr. Mohsin MaqboolChapter 13. Laboratory Protocols in Medical Biotechnology - IIDr. Medha PriyadarshiniChapter 14. Ethics and Medical BiotechnologyDr. Mohd Saleem Dar, Dr. Syed Mudasir AhmadChapter 15. Career Opportunities in Medical BiotechnologyDr. Saroj Nepal

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Book SynopsisThis interdisciplinary book covers the fundamentals of optical whispering gallery mode (WGM) microcavities, light–matter interaction, and biomolecular structure with a focus on applications in biosensing. Novel biosensors based on the hybridization of WGM microcavities and localized surface plasmon resonances (LSPRs) in metal nanoparticles have emerged as the most sensitive microsystem biodetection technology that boasts single molecule detection capability without the need for amplification and labeling of the analyte. The book provides an ample survey of the physical mechanisms of WGMs and LSPRs for detecting affinity, concentration, size, shape and orientation of biomarkers, while informing the reader about different classes of biomolecules, their optical properties and their importance in label-free clinical diagnostics.This expanded and updated second edition features a new chapter that introduces the reader to advanced in vivo biosensing techniques using WGM microcavities, looking at photothermal sensing, methods for trapping neutral atoms around WGM microcavities, and practical aspects of optoplasmonic sensing. The second Edition now provides a comprehensive introduction to the use of WGM microcavities in physical sensing which includes measurements with frequency combs, macro and micro (one atom) lasers, gyroscopes, optomechanical and parity-time-symmetric sensor devices.Chapter-end problems round out this comprehensive and fundamental textbook, inspiring a host of up-and-coming physicists, bioengineers, and medical professionals to make their own breakthroughs in this blossoming new field. This textbook can be used for both introductory and advanced courses about the modern optics of optical microcavities.Table of ContentsSensing with Light.- Surface Plasmon Resonance.- Whispering Gallery Modes in Optical Microcavities.- Applications of WGM Microcavities in Physics.- Single Molecule Sensing.- Fundamentals of Quantum Optics.- Molecular cavity QED.

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Book SynopsisThis book provides state-of-the-art information on ambient assisted living (AAL), and focuses on technologies, services, living spaces, policies, and interventions to promote health, improve quality of life, and active aging. It includes various research contributions, case studies, and projects where assistive technologies are successfully applied in the field, and it covers a wide range of topics: Tailoring products and services to the Aging society, Bio-data and Artificial sensing AAL scenarios, Cognition, and Technologies, and Designing for Inclusion and Well-Being. The volume gathers the refereed proceedings of the 11th Italian Forum on Ambient Assisted Living (AAL), ForItAAL2020. This annual event involves companies, researchers, and stakeholders involved in the field of Ambient Assisted Living, it took place online due to the pandemic situation of Covid-19, and was organized by the University of Padua through the Human Inspired Technologies Research Centre and the Regional Innovative Network “ICT for Smart and Sustainable Living” with the contribution of the Smart Living Technologies’ Cluster. With its wide-ranging contributions to the topic, the book will inspire the readers and the researchers to continue their exploration of AAL technologies to support the development of products and services that make a real difference in people’s daily lives.

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Book SynopsisThis book presents a comprehensive study in the field of advances in medical data science and contains carefully selected articles contributed by experts of information technology. Continuous growth of the amount of medical information and the variety of multimodal content necessitates the demand for a fast and reliable technology able to process data and deliver results in a user-friendly manner at the time and place the information is needed. Computational approaches for understanding human complexity, AI-powered applications in image and signal processing, bioinformatics, sound and motion as activity stimulus, joint activities in biomedical engineering and physiotherapy, disorder in children, selected comparative studies give new meaning to optimization of the functional requirements of the healthcare system for the benefit of the patients. It is an interdisciplinary collection of papers that have both theoretical and applied dimensions. It includes the following research areas: Computational methods for understanding human complexity Image and signal analysis Multidimensional medical data analysis Sound and motion Joint activities in biomedical engineering and physiotherapy This book is a great reference tool for scientists who deal with problems of designing and implementing information processing tools employed in systems that assist the clinicians, radiologists, and physiotherapists in patient diagnosis and treatment. It also serves students in exploring innovations in quantitative medical data analysis, data mining, and artificial intelligence.Table of ContentsClassifying Changes in Motion Behaviour Due to a Hospital Stay Using Floor Sensor Data – a Single Case Study.- Cloud-Based System for Vital Data Recording at Patients’ Home.- Tele-BRAIN Diagnostics Support System for Cognitive Disorders in Parkinson’s Patients.- EEG Signal and Deep Learning Approach in Evaluation of Cognitive Declines in Parkinson’s Disease.- Construction of a Cephalometric Image Based on Magnetic Resonance Imaging Data.- A Revealed Imperfection in Concept Drift Correction in Metabolomics Modeling.- The Influence of Low-Intensity Pulsed Ultrasound (LIPUS) on the Properties of PLGA Biodegradable Polymer Coatings on Ti6Al7Nb Substrate.

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Book SynopsisArtificial intelligence (AI) and machine learning (ML) have transformed many standard and conventional methods in undertaking health and well-being issues of humans. AL/ML-based systems and tools play a critical role in this digital and big data era to address a variety of medical and healthcare problems, improving treatments and quality of care for patients. This edition on AI and ML for healthcare consists of two volumes. The first presents selected AI and ML studies on medical imaging and healthcare data analytics, while the second unveils emerging methodologies and trends in AI and ML for delivering better medical treatments and healthcare services in the future.In this first volume, progresses in AI and ML technologies for medical image, video, and signal processing as well as health information and data analytics are presented. These selected studies offer readers theoretical and practical knowledge and ideas pertaining to recent advances in AI and ML for effective and efficient image and data analytics, leading to state-of-the-art AI and ML technologies for advancing the healthcare sector.Table of ContentsAn Introduction to Artificial Intelligence in Healthcare.- Radiomics: Approach to Precision Medicine.- Artificial Intelligence Based Strategies for Data-Driven Radial MRI.

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Book SynopsisThis open access book presents outstanding doctoral dissertations in Information Technology from the Department of Electronics, Information and Bioengineering, Politecnico di Milano, Italy. Information Technology has always been highly interdisciplinary, as many aspects have to be considered in IT systems. The doctoral studies program in IT at Politecnico di Milano emphasizes this interdisciplinary nature, which is becoming more and more important in recent technological advances, in collaborative projects, and in the education of young researchers.Accordingly, the focus of advanced research is on pursuing a rigorous approach to specific research topics starting from a broad background in various areas of Information Technology, especially Computer Science and Engineering, Electronics, Systems and Control, and Telecommunications.Each year, more than 50 PhDs graduate from the program. This book gathers the outcomes of the best theses defended in 2021-22 and selected for the IT PhD Award. Each of the authors provides a chapter summarizing his/her findings, including an introduction, description of methods, main achievements and future work on the topic. Hence, the book provides a cutting-edge overview of the latest research trends in Information Technology at Politecnico di Milano, presented in an easy-to-read format that will also appeal to non-specialists.

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Book SynopsisDuring heat treatment in dairy production, the rapid formation of heat-induced fouling deposits on the plant surface leads to reduced efficiency of heat transfer. Therefore, a regular cleaning process is required to soften the heat-induced protein deposits and then remove them from the plant surface. The mechanical property of the deposits is one of the key issues of the cleaning mechanisms since the non-fractured behaviour dominates the deformation of the fouling layer and the failure behaviour has a great impact on the cohesive removal of fouling deposits. Considering the complicated geometry of fouling deposits and their irregular distribution, indentation experiments were carried out on various kinds of protein deposits. The experimental results reveal the significant influence of the thickness of fouling deposits on their mechanical behaviour and the time-dependent nonlinear behaviour of the deposits.Furthermore, heat-induced whey protein gel was used as the model material for fouling deposits and the non-fractured and fracture behaviour was characterized using compression and wire cutting experiments, respectively. The material parameters identified using the inverse finite element method allow the prediction of fracture behaviour under localized external loads and provide a deeper insight into cohesive removal. To investigate the softening effect during caustic washing, tensile experiments were conducted on chemically treated and untreated whey protein gels. Adequate chemical degradation leads to a softer mechanical response and increased stress relaxation, making whey protein gels more flowable and more resistant to tensile deformation. The experimental results provide useful data on the failure behaviour of chemically treated whey protein gels.Table of Contents1 Introduction 1.1 Motivation   1.2 Aim of the present work 1.3 Outline 2 Background of cleaning in place 2.1 Heat treatment in the dairy production 2.2 Fouling and cleaning in the dairy production 2.2.1 Heat-induced formation of fouling deposits 2.2.2 The use of whey protein for experimental studies 2.2.3 Cleaning process for the fouled heating surface 2.3 The influence factors of cleaning in place 2.4 Cleaning mechanisms on the mechanical properties of protein deposits 3 Mechanical behaviour of heat-induced deposits 3.1 Mechanical behaviour of fouling deposits 3.1.1 Fouling experiments with raw milk and whey protein solution 3.1.2 Realisation of quasi-static and dynamic indentation experiments 3.1.3 Comparison of mechanical responses between milk and whey protein deposits 3.1.4 Influences of heat treatment on the mechanical behaviour of fouling deposits 3.2 Mechanical behaviour of whey protein gel 3.2.1 Gelation of whey protein solution with different heating conditions 3.2.2 Characterisation of fracture behaviour of WPG 3.2.3 Degradation of the WPG samples with NaOH solution 3.2.4 Characterisation of failure behaviour of WPG 4 Constitutive modelling and numerical simulation 69 4.1 Kinematics and balance equations 4.1.1 Kinematics of deformation 4.1.2 Stress tensors 4.1.3 Balance equations 4.2 Constitutive equations for protein deposits 4.2.1 One-dimensional generalised Maxwell model 4.2.2 Three-dimensional visco-hyperelastic model 4.2.3 Parameter identification through inverse finite element method 4.2.4 Application of modelling approaches 5 Conclusion and Outlook

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Book SynopsisThis book focuses on the dynamic process of aging and on interventions to support the development of older and integrated societies, from a multidisciplinary point of view. Gathering contributions from researchers and professionals with different backgrounds, including social and health sciences, education, engineering and IT, biology, geography and environmental science, it aims at understanding the phenomenon of population aging, in order to contribute to the development of future functional communities, fostering well-being and autonomy of the elderly, their integration and participation. Based on the proceedings of the 2nd International Congress Age.Comm Longevity and Development, organised online on November 11-12, 2021, from Castelo Branco, Portugal, this book addresses a wide range of specialists dealing with the process of aging, integration and community development in the societies of the future. Table of ContentsThe role of music in lifelong learning.- Community Development-A Proposal For Action In A Village Contextcommunity Development-A Proposal For Action In A Village Context With Older People.- Determinants of Future Housing Preferences of Portuguese Ageing Adults.- Geriatric Attitudes among Portuguese Medical Students: a UCLA Geriatric´s attitude scale study.- Health Perceptions and Health Care Accessibility Perception of Portuguese Ageing Adults.

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Book SynopsisThis book presents a collection of high-quality research papers, presented at the Second International Symposium on Bioinformatics and Biomedicine (BioInfoMed’2022). It offers a comprehensive look into some of the fastest growing fields of science, such as biomedicine, bioinformatics, artificial intelligence, and mathematical modeling. The different chapters of the work include both practical solutions and strictly scientific considerations expanding knowledge about the future bioinformatics and biomedical engineering challenges. We believe that the presented works will have a great impact not only on the development and the application of new methods for modeling, decision making and data mining in healthcare and biomedicine, but also it will provide a source of inspiration for researchers who can implement the proposed methods into their practice and scientific studies. Table of ContentsRhythm Analysis during Cardio-pulmonary Resuscitation with Convolutional and Recurrent Neural Networks Using ECG and Optional Impedance Input.- Parallel Technique on Bidirectional Associative Memory Cohen-Grossberg Neural Network.- Prediction of the Granulometric Composition of the Silt Loading on Transport Arteries in the City of Burgas Based on Artificial Neural Networks.- Emotion Recognition Using Convolutional Neural Network.- An Intuitionistic Fuzzy Estimation Approach to Magnetic Resonance Imaging.- Bioinformatics and Biostatistical Models for Analysis and Prognosis of Antimicrobial Resistance.- Lipid Order of Membranes Isolated from Erythrocytes of Patients with Coronary Artery Disease: Correlation with Biochemical Parameters.- Stress Response of Gram-positive and Gram-negative Bacteria Induced by Metal and Non-Metal Nanoparticles. In Search of Smart Antimicrobial Agents.- Generalized Net Model of Rehabilitation Algorithm for Patients with Proximal Humeral Fracture after Surgical Treatment.- A Generalized Net Model of Time-Delay Recurrent Neural Networks with the Stochastic Gradient Descent and Dropout Algorithm.

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Book SynopsisThis volume deals with the various fabrication techniques, surface functionalization and biomedical applications of polymeric fibers possessing different scale and structure. It provides an overview of fabrication techniques such as Co-axial, Centrifugal, Melt and Yarning to procure multiscale, tubular and layered fibrous scaffold employed for biomedical applications. The chapters in this volume discusse the surface/chemical functionalization of fibers which enhance the biological properties of the fibrous scaffolds as well as the development of hybrid, layered and external stimuli-responsive fibrous scaffolds that hold potential application in biosensor and other biomedical fields. In addition, recent advances and applications of polymeric multiscale fibers in tissue engineering, regenerative medicine and drug delivery are presented. The potential use of fibrous scaffolds in bone, neural, tendon/ligament and cardiac tissue engineering, nanofibers as an antimicrobial wound dressing, employed in cancer theragnostics and in the treatment of skin/periodontal infections are discussed. The volume provides expert knowledge on the fabrication techniques, development of different scale and hybrid structure fibers, surface functionalization, layered and external stimuli responsive fibrous scaffolds. It will be beneficial to material/biomaterials scientists, bioengineering and biotechnologists by providing a better understanding on the subject of the innovative applications of fibrous scaffolds in drug delivery, tissue engineering, wound dressings and regenerative medicine.Table of ContentsRecent Developments in Electrospinning Spinnertte and Collector Assembly for Biomedical Applications.- Fabrication of Multiscale Polymeric fibers for Biomedical Applications.- Coaxial Electrospun Nanofibrous Scaffolds and Its Biomedical Applications.- Melt Electrospun Nanofibers and Its Biomedical Applications.- Centrifugal Electrospun Nanofibers and Its Biomedical Applications.- Progress, Challenges and Opportunities in Electrospun Yarn-Engineered Biomaterials.- Fabrications of Textile Based Scaffolds Using Electrospun Nanofibers for Biomedical Applications.- Biomedical Applications of Electrospun Piezoelectric Nanofibrous Scaffolds.- Surface Modified Polymeric Nanofibers in Tissue Engineering and Regenerative Medicine.- Polymer/Ceramic Nanocomposite Fibers in Bone Tissue Engineering.- Electrospun Fibrous Scaffolds for Cardiac Tissue Engineering.- Electrospun Nanofibrous Scaffolds for Neural Tissue Engineering.- External Stimuli Responsive Nanofibers in Biomedical Engineering.- Electrospun Antimicrobial Polymeric Nanofibers in Wound dressings.- Application of Electrospun Polymeric Fibrous Membranes as Patches for Atopic Skin Treatments.- Nanofibrous Scaffolds for the Management of Periodontal Diseases.- Recent Advances in Brain Tumour Therapy using Electrospun Nanofibers.- Layered Fibrous Scaffolds/Membranes in Wound Healing.

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Book SynopsisThis textbook demonstrates new paradigms for the interface between CMOS circuits and the biological world. A deep theoretical description of such an interface is defined and discussed, while various real applications are demonstrated by also discussing several analog CMOS circuits. Electrochemical techniques are proposed in detail to learn how to design integrated biosensors. Biological materials are described to provide devices selectivity. Nanoscale materials are discussed to provide device sensitivity. CMOS circuits are analyzed to provide real applications. Extensive examples with solutions are provided, as well as exercises at the end of each chapter. This book introduces students to the state-of-the-art in Bio/CMOS interfaces, describing leading-edge research in CMOS design and VLSI development for applications requiring intimate integration of biological molecules onto the chip. It provides multidisciplinary content ranging from biochemistry to CMOS design in order to address Bio/CMOS interface co-design in biosensing applications.Table of ContentsIntroduction.- Chemistry of Conductive Solutions.- Biochemistry of Targets and Probes.- Target/Probe interactions.- Surface Immobilization of Probes.- Nano Technology to prevent Electron Transfer.- Bio/CMOS interface for Label-free Capacitance Sensing.- nanotechnology to enhance electron transfer.- Bio/CMOS interface in Constant Bias.-Bio/CMOS interface in Voltage Scan.- Appendix 1 - Basic Chemistry.- Appendix 2 - Basic Configurations of Operational Amplifiers.- Appendix 3 - The Fourier Theorem.- Appendix 4 - The Fourier and Laplace Transforms.

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Book SynopsisThis volume constitutes the proceedings of the 10th International Work-Conference on IWBBIO 2023, held in Meloneras, Gran Canaria, Spain, during July 12-14, 2022. The total of 79 papers presented in the proceedings, was carefully reviewed and selected from 209 submissions. The papers cove the latest ideas and realizations in the foundations, theory, models, and applications for interdisciplinary and multidisciplinary research encompassing disciplines of computer science, mathematics, statistics, biology, bioinformatics, and biomedicine.

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Book SynopsisThis volume constitutes the proceedings of the 10th International Work-Conference on IWBBIO 2023, held in Meloneras, Gran Canaria, Spain, during July 12-14, 2022. The total of 79 papers presented in the proceedings, was carefully reviewed and selected from 209 submissions. The papers cove the latest ideas and realizations in the foundations, theory, models, and applications for interdisciplinary and multidisciplinary research encompassing disciplines of computer science, mathematics, statistics, biology, bioinformatics, and biomedicine.

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Book SynopsisThis open access book offers a timely and comprehensive review of the field of neurotronics. Gathering cutting-edge contributions from neuroscientists, biologists, psychologists, as well as physicists, microelectronics engineers and information scientists, it gives extensive information on fundamental information pathways in selected nervous systems. It also highlights their relevance as building blocks for novel computing architectures, such as bio-inspired electronic devices, neuromorphic architectures, memristive devices, adaptive sensors and emergent, pulsed-coupled oscillatory networks. All in all, this book offers a unique bridge between fundamental research in neuroscience, neural information processing, nonlinear dynamics, and self-organization, and advanced practical applications concerning the fabrication of hardware-oriented computing.Table of ContentsMatter & Mind Matter.- Neuromorphic circuits with redox-based memristive devices.- Redox-based bi-layer oxide metal memristive devices.- MemFlash – Floating Gate Transistors as Memristors.- Critical discussion of ex situ and in situ TEM measurements of memristive devices.- Modeling and Simulation of of Silver-based Filamentary Memristive Devices.- Bio-inspired, neuromorphic acoustic sensing.

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Book SynopsisThis edited collection deals with the structure-property relationships and biomedical applications of carboxymethyl chitosan derivatives in different fields. Readers will detailed overview of the preparatory methods involved in the derivatives of carboxymethyl chitosan and its interaction with metal ions. The chapters provide a detailed overview of the different types of carboxymethyl chitosan derivatives, including the preparatory methods involved, the interactions with metal ions, and the antimicrobial activities. These different forms of carboxymethyl chitosan derivatives are found to be potentially used in food packaging, in enhancing saltiness, as biosensors, and also as wound dressing. Chapters are also devoted to the fabrication and biomedical applications of carboxymethyl chitosan derivatives-based nanofibers as well as the interaction of carboxymethyl chitosan with blood in blood clotting and the underlying mechanism. Contributing authors additionally explore topics related to carboxymethyl chitosan-based hydrogels, films, scaffolds, fibers, and composites. Finally, this volume presents the current challenges in developing biomedical products based on carboxymethyl chitosan derivatives. This book will be of interest not only to chemists, but to all scientists working in the fields of material/environmental science, biological science, and biomaterials. These chapters are great resources for any researcher who works with structure-property relationships, biological interactions, and the applications of carboxymethyl chitosan derivatives in different biomedical fields.Table of ContentsIntroductory Aspects of Carboxymethyl Chitosan derivatives.- Preparation of Different Types of Carboxymethyl Chitosan Derivatives.- Carboxymethyl Chitosan Derivatives and Its Interaction with Metal Ions.- Antimicrobial Properties of Carboxymetyl Chitosan Based Derivatives.- Synthesis of Carboxymethyl Chitosan Derivatives Based Hydrogels and Its Applications.- Synthesis of Carboxymethyl Chitosan Derivatives in Biosensing.- Carboxymethyl Chitosan Based Derivatives in Blood Clotting and Its Mechanism.- Electrospinning of Carboxymethyl Chitosan Based Derivatives and Its applications.- Carboxymethyl Chitosan Based Derivatives in Diagnosis & Targeting.- Carboxymethyl Chitosan Derivatives for Drug and Vaccine Delivery: An overview.- Carboxymethyl Chitosan Derivatives in Tissue Engineering.- Functionalized Carboxymethyl Chitosan Based Derivatives in Wound Healing.

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Book SynopsisIt discusses such application-oriented nanofibers as self-healing vascular nanotextured materials, biopolymer nanofibers, soft robots and actuators based on nanofibers, biopolymer nanofiber-based triboelectric nanogenerators, metallized nanofibers, and heaters and sensors based on them.

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Book Synopsis1. Grundlegende Trends in der Nanobiotechnologie.- 2. Molekulares Design, Synthese und Eigenschaften von oberflächenaktiven, kammartigen PEG-haltigen Polymeren und abgeleiteten supramolekularen Strukturen für die Verabreichung von Medikamenten.- 3. Eine neuartige wasserlösliche C60-Fulleren-basierte Nanoplattform erhöht die Effizienz der Chemotherapie gegen Krebs.- 4. Magnetische Eisenoxidpartikel für die Theranostik.- 5. Geregelte Abgabe und verringerte negative Nebenwirkungen von Krebsmedikamenten, die mit polymeren Nanoträgern komplexiert sind - 6. Nano- und Mikropartikel und ihre Rolle bei Entzündungen und Immunreaktionen.- 7. Grundprinzipien der Nanotoxikologie - 8. Bio-Imaging, Biokompatibilität und Funktionalität von polymeren Nanocarriern für die Genübertragung - 9. Aufnahme, Bio-Verteilung und Mechanismen der Toxizität von metallhaltigen Nanopartikeln in wirbellosen Wassertieren und Wirbeltieren - 10. Die Rolle des Metallothionein-Systems bei der Reaktion auf die toxische W

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Book SynopsisExtrusion Bioprinting of Scaffolds: an Introduction.- Scaffold Design for Bioprinting.- Biomaterials for Bioprinting.- Mechanical Properties of Native Tissues and Scaffolds.- Preparation of Scaffold Solutions and Characterization of Their Flow-Behavior.- Extrusion Bioprinting of Scaffolds.- Bioprinting Vascular Networks in Scaffolds.

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Book SynopsisChapter 1. Medical Terminology.- Chapter 2 - Human Body: General Characteristics.- Chapter 3 Biochemistry.- Chapter 4 Cells.- Chapter 5 Viruses.- Chapter 6 Tissues.- Chapter 7 - Integumentary System.- Chapter 8 - Skeletal System.- Chapter 9 - Muscular System.- Chapter 10 - Nervous System.- Chapter 11 - Special Senses.- Chapter 12 - Endocrine System.- Chapter 13 - Cardiovascular System.- Chapter 14 - Lymphatic and Immune Systems.- Chapter 15 - Respiratory System.- Chapter 16 - Digestive System.- Chapter 17 - Urinary System.- Chapter 18 - Fluid, Electrolyte, and Acid-Base Balance.- Chapter 19 - Reproductive System.

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Book SynopsisIntroduction.- Production of radioisotopes.- Synthesis of radiopharmaceuticals.- Microfluidics in radiotracer synthesis.- Analysis of radiopharmaceuticals.- Dispensing and infusing tracers.- Radioassays for tracer development.- Outlook.

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Book SynopsisCurrent Approaches in 3D Printed Organ and Tissues Engineering.- Challenges and Innovations in 3D Printed Biomaterials and Biomedical Applications.- 3D Printing of Bio-organs: Materials, Methods and Future Prospects.- The Integration of Innovative Antibacterial Bioinks in 3D Printing of Human Organs.- Challenges and Innovations in 3D Printed Bio-organs and Their Materials.- Advances in Additive Manufacturing for Biomedical Applications.- Tribological Behaviour and Wear Mechanisms of Titanium Alloys in Bio-medical Applications.- Recent Trends and Future Prospects in Metallic Implants for Biomedical Applications.- Role of Polymers for Skin Disorders.- Biocompatibility of Additively Manufactured Metal Implants.- Development of Biocompatible Medical Implants using Metal Additive Manufacturing.- Additive Manufacturing of Medical Solutions for Diabetic Patients.- 3D Printing in Diabetes Care: Innovations in Treatment, Monitoring, and Wound Healing.- Challenges and Innovations in 3D Printed Bio-Organs and Their Materials.- Advances in 3D Printing Textured Ti6Al4V Alloy for Enhanced Implants: A Review.- Additive Manufacturing of Soft Materials and Soft Gel for Bio-Organs.

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