Artificial Intelligence in Data Mining: Theories and Applications offers a comprehensive introduction to data mining theories, relevant AI techniques, and their many real-world applications. This book is written by experienced engineers for engineers, biomedical engineers, and researchers in neural networks, as well as computer scientists with an interest in the area.

This useful reference provides up-to-the-minute coverage of every aspect of valvular heart disease-presenting etiology, pathophysiology, and symptomatology in detail as well as current methods of diagnosis and treatment.
Examines specific problems in valvular heart disease such as endocarditis, pregnancy, arrhythmias, rheumatic disease, acute regurgitation, and surgery in children and the elderly
Reviewing the latest invasive and non-invasive diagnostic techniques and analyzing the wide variety of management choices, Valvular Heart Disease
explicates the pathology, echocardiography, and the radiological examination of valvular diseases
discusses each of the heart valves
elucidates possible pitfalls in diagnosis and management
shows how to assess left and right ventricular function and how to time surgery
illustrates the benefits and drawbacks of medical, interventional, and surgical management, including balloon catheter, valvotomy, and valve repair
supplies an in-depth overview of conservative therapy
and more

Computational Models in Biomedical Engineering: Finite Element Models Based on Smeared Physical Fields: Theory, Solutions, and Software discusses novel computational methodologies developed by the authors that address a variety of topics in biomedicine, with concepts that rely on the so-called smeared physical field built into the finite element method. A new and straightforward methodology is represented by their Kojic Transport Model (KTM), where a composite smeared finite element (CSFE) as a FE formulation contains different fields (e.g., drug concentration, electrical potential) in a composite medium, such as tissue, which includes the capillary and lymphatic system, different cell groups and organelles. The continuum domains participate in the overall model according to their volumetric fractions. The governing laws and material parameters are assigned to each of the domains. Furthermore, the continuum fields are coupled at each FE node by connectivity elements which take into account biological barriers such as vessel walls and cells.

Antimicrobial Activity of Nanoparticles: Applications in Wound Healing and Infection Treatment presents the state of the art among nanotechnological approaches used in the treatment of infections. This field has gained a large amount of interest over the past few years, in response to the increasing resistance of pathogens to antibiotics. Leading researchers from around the world discuss the synthesis routes of nanobiomaterials, characterization, and their applications as antimicrobial agents. The book covers various aspects: from antiviral and antibacterial nanoparticles, to the functionalization of nanoparticles and their toxicity to human cells. This book offers an advanced reference text for biomedical engineers, materials scientists, clinicians, and biochemists, with an interest in nanomedicine and infection control.

Foundational Handbook of Artificial Intelligence in Healthcare and Bioscience: A User Friendly Guide for IT Professionals, Healthcare Providers, Researchers, and Clinicians uses color-coded illustrations to explain AI from its basics to modern technologies. Other sections cover extensive, current literature research and citations regarding AI's role in the business and clinical aspects of health care. The book provides readers with a unique opportunity to appreciate AI technology in practical terms, understand its applications, and realize its profound influence on the clinical and business aspects of health care. Artificial Intelligence is a disruptive technology that is having a profound and growing influence on the business of health care as well as medical diagnosis, treatment, research and clinical delivery. The AI relationships in health care are complex, but understandable, especially when discussed and developed from their foundational elements through to their practical applications in health care.

Deep Learning (DL) is a method of machine learning, running over Artificial Neural Networks, that uses multiple layers to extract high-level features from large amounts of raw data. Deep Learning methods apply levels of learning to transform input data into more abstract and composite information. Handbook for Deep Learning in Biomedical Engineering: Techniques and Applications gives readers a complete overview of the essential concepts of Deep Learning and its applications in the field of Biomedical Engineering. Deep learning has been rapidly developed in recent years, in terms of both methodological constructs and practical applications. Deep Learning provides computational models of multiple processing layers to learn and represent data with higher levels of abstraction. It is able to implicitly capture intricate structures of large-scale data and is ideally suited to many of the hardware architectures that are currently available. The ever-expanding amount of data that can be gathered through biomedical and clinical information sensing devices necessitates the development of machine learning and AI techniques such as Deep Learning and Convolutional Neural Networks to process and evaluate the data. Some examples of biomedical and clinical sensing devices that use Deep Learning include: Computed Tomography (CT), Magnetic Resonance Imaging (MRI), Ultrasound, Single Photon Emission Computed Tomography (SPECT), Positron Emission Tomography (PET), Magnetic Particle Imaging, EE/MEG, Optical Microscopy and Tomography, Photoacoustic Tomography, Electron Tomography, and Atomic Force Microscopy. Handbook for Deep Learning in Biomedical Engineering: Techniques and Applications provides the most complete coverage of Deep Learning applications in biomedical engineering available, including detailed real-world applications in areas such as computational neuroscience, neuroimaging, data fusion, medical image processing, neurological disorder diagnosis for diseases such as Alzheimer's, ADHD, and ASD, tumor prediction, as well as translational multimodal imaging analysis.

Polyurea: Synthesis, Properties, Composites, Production, and Applications is a comprehensive and practical guide to polyurea, a material used for its exceptional properties and performance in a range of high value industrial applications. Sections cover polyurea formulations and properties, comparing aromatic polyurea with aliphatic polyurea and computation modeling of properties for polyurea and polyurea composites. This is followed by in-depth coverage of synthesis, structure and production methods of polyurea, with the connections between production, performance and properties examined thoroughly. Other sections explain the preparation, characterization, modeling and applications of polyurea and polyurea composites with the required properties for specific advanced applications. Finally, environmental issues, recycling and future potential of polyurea are considered. This is a valuable resource for researchers and advanced students in polymer science, chemistry, composite science, civil engineering, materials science and mechanical engineering, as well as R&D professionals, engineers and industrial scientists with an interest in polyurea-based materials for advanced applications.

Health Care Paradigms in the Internet of Things Ecosystem brings all IoT-enabled health care related technologies into a single platform so that undergraduate and postgraduate students, researchers, academicians and industry leaders can easily understand IoT-based healthcare systems. The book uses data and network engineering and intelligent decision support system-by-design principles to design a reliable IoT-enabled health care ecosystem and to implement cyber-physical pervasive infrastructure solutions. It takes the reader on a journey that begins with understanding the healthcare monitoring paradigm in IoT-enabled technologies and how it can be applied in various aspects. In addition, the book walks readers through real-time challenges and presents a guide on how to build a safe infrastructure for IoT-based health care. It also helps researchers and practitioners understand the e-health care architecture through IoT and the state-of-the-art in IoT countermeasures. Readers will find this to be a comprehensive discussion on functional frameworks for IoT-based healthcare systems, intelligent medicine, RFID technology, HMI, Cognitive Interpretation, Brain-Computer Interface, Remote Health Monitoring systems, wearable sensors, WBAN, and security and privacy issues in IoT-based health care monitoring systems.

As a fast-growing imaging technology, photoacoustic (PA) imaging synergistically combines electromagnetic and ultrasonic waves providing higher contrast and resolution than conventional ultrasound imaging. This book presents the latest developments in this field, especially the advances in the detection of diseases using newly developed PA techniques.

Theory and Applications of Nonparenteral Nanomedicines presents thoroughly analysed data and results regarding the potential of nanomedicines conceived by diverse non-parenteral routes. In the context of nanotechnology-based approaches, various routes such as oral, pulmonary, transdermal, delivery and local administration of nanomedicine have been utilized for the delivery of nanomedicine. This book discusses the non-parenteral application of nanomedicine, its regulatory implications, application of mucus penetrating nanocarrier, and detailed chapters on development of nanomedicines developed for drug delivery by various route. Beginning with a brief introduction to the non-parenteral delivery of nanomedicine and the safety and regulatory implications of the nanoformulations, further chapters discuss the physiology of the biological barriers, the specificity of the nanocarriers as well as their multiple applications. Theory and Applications of Nonparenteral Nanomedicines helps clinical researchers, researchers working in pharmaceutical industries, graduate students, and anyone working in the development of non-parenteral nanomedicines to understand the recent progress in the design and development of nanoformulations compatible with non-parenteral applications.

Nature-Inspired Optimization Algorithms, Second Edition provides an introduction to all major nature-inspired algorithms for optimization. The book's unified approach, balancing algorithm introduction, theoretical background and practical implementation, complements extensive literature with case studies to illustrate how these algorithms work. Topics include particle swarm optimization, ant and bee algorithms, simulated annealing, cuckoo search, firefly algorithm, bat algorithm, flower algorithm, harmony search, algorithm analysis, constraint handling, hybrid methods, parameter tuning and control, and multi-objective optimization. This book can serve as an introductory book for graduates, for lecturers in computer science, engineering and natural sciences, and as a source of inspiration for new applications.

3D Printing in Medicine and Surgery: Applications in Healthcare is an advanced book on surgical and enhanced medical applications that can be achieved with 3D printing. It is an essential handbook for medical practitioners, giving access to a range of practical methods, while also focusing on applied knowledge. This comprehensive resource features practical experiments and processes for preparing 3D printable materials. Early chapters cover foundational knowledge and background reading, while later chapters discuss and review the current technologies used to engineer specific tissue types, experiments and methods, medical approaches and the challenges that lie ahead for future research. The book is an indispensable reference guide to the various methods used by current medical practitioners working at the forefront of 3D printing applications in medicine.

Metallic Biomaterials Processing and Medical Device Manufacturing details the principles and practices of the technologies used in biomaterials processing and medical device manufacturing. The book reviews the main categories of metallic biomaterials and the essential considerations in design and manufacturing of medical devices. It bridges the gap between the designing of biomaterials and manufacturing of medical devices including requirements and standards. Main themes of the book include, manufacturing, coatings and surface modifications of medical devices, metallic biomaterials and their mechanical behaviour, degradation, testing and characterization, and quality controls, standards and FDA regulations of medical devices. The leading experts in the filed discuss the requirements, challenges, recent progresses and future research directions in the processing of materials and manufacturing of medical devices. Metallic Biomaterials Processing and Medical Device Manufacturing is ideal for those working in the disciplines of materials science, manufacturing, biomedical engineering, and mechanical engineering.

Biomaterials for 3D Tumor Modeling reviews the fundamentals and most relevant areas of the latest advances of research of 3D cancer models, focusing on biomaterials science, tissue engineering, drug delivery and screening aspects. The book reviews advanced fundamental topics, including the causes of cancer, existing cancer models, angiogenesis and inflammation during cancer progression, and metastasis in 3D biomaterials. Then, the most relevant biomaterials are reviewed, including methods for engineering and fabrication of biomaterials. 3D models for key biological systems and types of cancer are also discussed, including lung, liver, oral, prostate, pancreatic, ovarian, bone and pediatric cancer. This book is suitable for those working in the disciplines of materials science, biochemistry, genetics, molecular biology, drug delivery and regenerative medicine.

Terahertz Biomedical and Healthcare Technologies: Materials to Devices reviews emerging advances in terahertz biomedical and healthcare technologies, including advances in fundamental materials science research, device design and fabrication, applications, and challenges and opportunities for improved performance. In addition, the improvement of materials, optical elements, and measuring techniques are also explored. Other sections cover the design and development of wide bandgap semiconductors for terahertz device applications, including their physics, device modeling, characterization and fabrication concepts. Finally, the book touches on potential defense, medical imaging, internet of things, and the machine learning applications of terahertz technologies.

ODE/PDE Analysis of Antibiotic/Antimicrobial Resistance: Programming in R presents mathematical models for antibiotic/antimicrobial resistance based on ordinary and partial differential equations (ODE/PDEs). Sections cover the basic ODE model, the detailed PDE model that gives the spatiotemporal distribution of four dependent variable components, including susceptible bacteria population density, resistant bacteria population density, plasmid number, and antibiotic concentration. The computer-based implementation of the example models is presented through routines coded (programmed) in R, a quality, open-source scientific computing system that is readily available from the Internet. As such, formal mathematics is minimized and no theorems and proofs are required. The PDE analysis is based on the method of lines (MOL), an established general algorithm for PDEs that is implemented with finite differences. Routines are available from a download link so that the example models can be executed without having to first study numerical methods and computer coding. Routines can then be applied to variations and extensions of the antibiotic/antimicrobial models, such as changes in the ODE/PDE parameters (constants) and the form of the model equations.

Storing Digital Binary Data into Cellular DNA demonstrates how current digital information storage systems have short longevity and limited capacity, also pointing out that their production and consumption of data exceeds supply. Author Rocky Termanini explains the DNA system and how it encodes vast amounts of data, then presents information on the emergence of DNA as a storage technology for the ever-growing stream of data being produced and consumed. The book will be of interest to a range of readers looking to understand this game-changing technology, including researchers in computer science, biomedical engineers, geneticists, physicians, clinicians, law enforcement and cybersecurity experts.

Based on the success of the first edition, this second edition continues to build upon fundamental principles of biosensor design and incorporates recent advances in intelligent materials and novel fabrication techniques for a broad range of real world applications. The book provides a multi-disciplinary focus to capture the ever-expanding field of biosensors. Smart Biosensor Technology, Second Edition includes contributions from leading specialists in a wide variety of fields with a common focus on smart biosensor design. With 21 chapters organized in five parts, this compendium covers the fundamentals of smart biosensor technology, important issues related to material design and selection, principles of biosensor design and fabrication, advances in bioelectronics, and a look at specific applications related to pathogen detection, toxicity monitoring, microfluidics and healthcare. Features Provides a solid background in the underlying principles of biosensor design and breakthrough technologies for creating more intelligent biosensors Focusses on material design and selection including cutting-edge developments in carbon nanotubes, polymer nanowires, and porous silicon Examines machine learning and introduces concepts such as DNA-based molecular computing for smart biosensor function Explores the principles of bioelectronics and nerve cell microelectrode arrays for creating novel transducers and physiological biosensors Devotes several chapters to biosensors developed to detect and monitor a variety of toxins and pathogens Offers expert opinions on the future directions, challenges and opportunities in the field

Uniquely focusing on dynamic modeling, this volume incorporates metabolic regulation as a survival mechanism for cells, by driving metabolism through optimal investment of its resources for control of enzyme synthesis and activity. Consequently, the models have a proven record of describing various uptake patterns of mixed carbon substrates that have become significant in modern applications of biomass for the production of bioenergy. The models accurately describe dynamic behavior of microbes in nutrient environments with mixtures of complementary substrates, such as carbon and nitrogen. Modeling of large metabolic networks (including prospects for extension to genome scale) is enabled by lumped hybrid cybernetic models with an unparalleled capacity to predict dynamic behavior of knockout strains. This is an invaluable, must-have reference for bio-researchers and practicing engineers.

A comprehensive text in the field of biomaterials science and tissue engineering, covering fundamental principles and methods related to processing-microstructure-property linkages as applied to biomaterials science. Essential concepts and techniques of the cell biology are discussed in detail, with a focus quantitatively and qualitatively evaluating cell-material interaction. It gives detailed discussion on the processing, structure and properties of metals, ceramics and polymers, together with techniques and guidelines. Comprehensive coverage of in vitro and in vivo biocompatibility property evaluation of materials for bone, neural as well as cardiovascular tissue engineering applications, together with representative protocols. Supported by several multiple-choice questions, fill in the blanks, review questions, numerical problems and solutions to selected problems, this is an ideal text for undergraduate and graduate students in understanding fundamental concepts and the latest developments in the field of biomaterials science.

While the potential of stem cells is recognized, their proliferation and differentiation must be more precisely controlled to maximize the production of therapeutically relevant cells and for cell replacement therapies to minimize contamination with residual cells that can give rise to side effects. How can engineers make contributions to address these challenges? With contributions from pioneers and experts, Stem Cell Engineering: Principles and Practices highlights recent advances in the understanding of the cellular and molecular composition of the stem cell niche, as well as approaches to build upon this basic information to direct stem cell differentiation into therapeutically valuable lineages. The growing recognition of stem cells as an important and exciting field will continue to draw investigators with diverse backgrounds-from biology, engineering, and the physical sciences-and thereby enable further progress in these and other new directions. This book discusses advances made during the last decade that have led to increasingly defined culture systems for growing stem cells, starting from co-culture with feeder cells in the presence of serum to growth on synthetic substrates in defined medium. In addition to highlighting many recent advances, it underscores the need for future work.

"This book is essential when designing, developing and studying biomedical materials.... provides an excellent review-from a patient, disease, and even genetic point of view-of materials engineering for the biomedical field. ... This well presented book strongly insists on how the materials can influence patients' needs, the ultimate drive for biomedical engineering. ...[presents an] Interesting and innovative review from a patient focus perspective-the book emphasizes the importance of the patients, which is not often covered in other biomedical material's books." -Fanny Raisin-Dadre, BioInteractions Ltd., Berkshire, England Going far beyond the coverage in most standard books on the subject, Biomaterials Science: An Integrated Clinical and Engineering Approach offers a solid overview of the use of biomaterials in medical devices, drug delivery, and tissue engineering. Combining discussion of materials science and engineering perspectives with clinical aspects, this book emphasizes integration of clinical and engineering approaches. In particular, it explores various applications of biomaterials in fields including tissue engineering, neurosurgery, hemocompatibility, BioMEMS, nanoparticle-based drug delivery, dental implants, and obstetrics/gynecology. The book engages those engineers and physicians who are applying biomaterials at various levels to: Increase the rate of successful deployment of biomaterials in humans Lower the side-effects of such a deployment in humans Accumulate knowledge and experience for improving current methodologies Incorporate information and understanding relevant to future challenges, such as permanent artificial organ transplants Using a variety of contributors

The Current Issues in Medicine series not only highlights current advances but also explores related topics such as translational medicine, regulatory science, neglected diseases, global pandemics, patent law, immunotoxicology, ethics, theranostics, big data, artificial intelligence, novel imaging tools, combination drug products, and novel therapies. Volumes 1 and 2 in this series are focused on current issues in basic medical science, subjects that are fundamental to the practice of medicine. Specifically, volume 1 covers biochemistry, genomics, physiology, and pharmacology.

With every chapter revised and updated, Physics for Diagnostic Radiology, Third Edition continues to emphasise the importance of physics education as a critical component of radiology training. This bestselling text helps readers understand how various imaging techniques work, from planar analogue and digital radiology to computed tomography (CT), nuclear medicine, and positron emission tomography (PET) to ultrasound imaging and magnetic resonance imaging (MRI).

New to the Third Edition

• Material on digital receptors
• Emphasis on the differences between analogue and digital images
• Coverage of multi-slice CT and three-dimensional resolution, dual energy applications, and cone beam CT
• Special radiographic techniques, including subtraction techniques and interventional radiology
• New chapter on PET, with discussion of multi-modality imaging (PET/CT)
• Additional material on radiation doses and risks to patients
• New chapter covering picture archiving and communication system (PACS), teleradiology, networks, archiving, and related factors
• A summary of the main teaching points at the beginning of each chapter

After an introductory chapter on basic physics, the book follows the x-ray imaging process: production of x-rays, interaction with the patient, radiation measurement, the image receptor, the radiological image, and image quality assessment. It then covers more advanced x-ray techniques as well as imaging with radioactive materials. The text also focuses on radiobiology, risk and radiation protection, and imaging with non-ionising radiation. The final chapter discusses data handling in a modern, electronic radiology department.

Despite their tremendous potential, Mg and its alloys are not yet used in biomedical applications. This book aims to provide scientific insights into the challenges of the materials, and give an overview of the research regarding their mechanical properties, corrosion behaviour and biological performances. The authors intend to put the reader into the position to accurate discern the proper Mg-based material for his/her applications and to choose the proper improvement strategy to his/her cause. To this aim, the manuscript is structured as follow: in Section 2, the main challenges hampering the use of magnesium in biomedical applications and the common improvement strategies are listed. In Section 3, the most investigated Mg alloys are reported in separate sub-sections, detailing their mechanical properties, corrosion behaviour and biotoxicity. High-pure and ultra-high-pure Mg, Al-based Mg alloys, Zn-based Mg alloys, Ca-based alloys and RE-based Mg alloys have been considered. In Section 4, the alloys' performances with respect to the challenges is summarized providing the reader with useful information and suggestions on the potentially most suited choice. Finally, in Section 5, an outlook portraying the authors' opinion of the future development of the field will be provided. This book will allow biomedical engineers, surface scientists, material scientists, implant manufacturers and companies working on implant approval an overview of the state-of-the-art technologies adopted so far to overcome the drawbacks of Mg for biomedical applications. Particular emphasis is put on explaining the link between mechanical, corrosion and biocompatible properties of Mg and its alloys as well as their pros and cons. In doing so, the authors intend to put the reader into the position to accurate discern the proper Mg-based material for his/her applications and to choose the proper improvement strategy to his/her cause.