This book introduces readers to the current trends in using deep learners and deep learner descriptors for medical applications. It reviews the recent literature and presents a variety of medical image and sound applications to illustrate the five major ways deep learners can be utilized: 1) by training a deep learner from scratch (chapters provide tips for handling imbalances and other problems with the medical data); 2) by implementing transfer learning from a pre-trained deep learner and extracting deep features for different CNN layers that can be fed into simpler classifiers, such as the support vector machine; 3) by fine-tuning one or more pre-trained deep learners on an unrelated dataset so that they are able to identify novel medical datasets; 4) by fusing different deep learner architectures; and 5) by combining the above methods to generate a variety of more elaborate ensembles. This book is a value resource for anyone involved in engineering deep learners for medical applications as well as to those interested in learning more about the current techniques in this exciting field. A number of chapters provide source code that can be used to investigate topics further or to kick-start new projects.

This comprehensive and extensively classroom-tested biophysics textbook is a complete introduction to the physical principles underlying biological processes and their applications to the life sciences and medicine. The foundations of natural processes are placed on a firm footing before showing how their consequences can be explored in a wide range of biosystems. The goal is to develop the readers' intuition, understanding, and facility for creative analysis that are frequently required to grapple with problems involving complex living organisms. Topics cover all scales, encompassing the application of statics, fluid dynamics, acoustics, electromagnetism, light, radiation physics, thermodynamics, statistical physics, quantum biophysics, and theories of information, ordering, and evolutionary optimization to biological processes and bio-relevant technological implementations. Sound modeling principles are emphasized throughout, placing all the concepts within a rigorous framework. With numerous worked examples and exercises to test and enhance the reader's understanding, this book can be used as a textbook for physics graduate students and as a supplementary text for a range of premedical, biomedical, and biophysics courses at the undergraduate and graduate levels. It will also be a useful reference for biologists, physicists, medical researchers, and medical device engineers who want to work from first principles.

Microfluidic biochips have gained prominence due to their versatile applications to biochemistry and health-care domains such as point-of-care clinical diagnosis of tropical and cardiovascular diseases, cancer, diabetes, toxicity analysis, and for the mitigation of the global HIV crisis, among others. Microfluidic Lab-on-Chips (LoCs) offer a convenient platform for emulating various fluidic operations in an automated fashion. However, because of the inherent uncertainty of fluidic operations, the outcome of biochemical experiments performed on-chip can be erroneous even if the chip is tested a priori and deemed to be defect-free. This book focuses on the issues encountered in reliable sample preparation with digital microfluidic biochips (DMFBs), particularly in an error-prone environment. It presents state-of-the-art error management techniques and underlying algorithmic challenges along with their comparative discussions. Describes a comprehensive framework for designing a robust and error-tolerant biomedical system which will help in migrating from cumbersome medical laboratory tasks to small-sized LOC-based systems Presents a comparative study on current error-tolerant strategies for robust sample preparation using DMFBs and reports on efficient algorithms for error-tolerant sample dilution using these devices Illustrates how algorithmic engineering, cyber-physical tools, and software techniques are helpful in implementing fault tolerance Covers the challenges associated with design automation for biochemical sample preparation Teaches how to implement biochemical protocols using software-controlled microfluidic biochips Interdisciplinary in its coverage, this reference is written for practitioners and researchers in biochemical, biomedical, electrical, computer, and mechanical engineering, especially those involved in LOC or bio-MEMS design.

This unique book introduces a variety of techniques designed to represent, enhance and empower multi-disciplinary and multi-institutional machine learning research in healthcare informatics. Providing a unique compendium of current and emerging machine learning paradigms for healthcare informatics, it reflects the diversity, complexity, and the depth and breadth of this multi-disciplinary area. Further, it describes techniques for applying machine learning within organizations and explains how to evaluate the efficacy, suitability, and efficiency of such applications. Featuring illustrative case studies, including how chronic disease is being redefined through patient-led data learning, the book offers a guided tour of machine learning algorithms, architecture design, and applications of learning in healthcare challenges.

This book provides a thorough overview of cutting-edge research on electronics applications relevant to industry, the environment, and society at large. It covers a broad spectrum of application domains, from automotive to space and from health to security, while devoting special attention to the use of embedded devices and sensors for imaging, communication and control. The book is based on the 2016 ApplePies Conference, held in Rome, Italy in September 2016, which brought together researchers and stakeholders to consider the most significant current trends in the field of applied electronics and to debate visions for the future. Areas addressed by the conference included information communication technology; biotechnology and biomedical imaging; space; secure, clean and efficient energy; the environment; and smart, green and integrated transport. As electronics technology continues to develop apace, constantly meeting previously unthinkable targets, further attention needs to be directed toward the electronics applications and the development of systems that facilitate human activities. This book, written by industrial and academic professionals, represents a valuable contribution in this endeavor.

Macroscopic cellular structures and functions are generally investigated using biological and biochemical approaches. But these methods are no longer adequate when one needs to penetrate deep into the small-scale structures and understand their functions. The cell is found to hold various physical structures, molecular machines, and processes that require physical and mathematical approaches to understand and indeed manipulate them. Disorders in general cellular compartments, perturbations in single molecular structures, drug distribution therein, and target specific drug-binding, etc. are mostly physical phenomena. This book will show how biophysics has revolutionized our way of addressing the science and technology of nanoscale structures of cells, and also describes the potential for manipulating the events that occur in them.

Cover simple modelling approaches as well as full Monte Carlo simulation of x-ray tubes Bremsstrahlung and characteristic contributions to the spectrum are discussed in detail Learning is supported by free open-source software and an online repository of code.

This book provides a thorough overview of recent methods using higher level information (object or scene level) for advanced tasks such as image understanding along with their applications to medical images. Advanced methods for fuzzy image processing and understanding are presented, including fuzzy spatial objects, geometry and topology, mathematical morphology, machine learning, verbal descriptions of image content, fusion, spatial relations, and structural representations. For each methodological aspect covered, illustrations from the medical imaging domain are provided. This is an ideal book for graduate students and researchers in the field of medical image processing.

This book casts new light on the field of oral drug absorption. It outlines both the concept of the past and the novel concept of Finite Absorption Time (FAT). In addition, the authors explore the correlated need for re-definition of bioavailability, bioequivalence providing a plethora of experimental data. Accordingly, this book is intended for academics/students or scientists working in pharmaceutical industries, regulatory agencies, and contract research organizations. It can be used for teaching purposes in under- and post-graduate courses dealing with biopharmaceutics, pharmacokinetics and biomedical engineering.

This book acts as a primer for radiographers upon performing computed tomography (CT) examinations. The focus resides in radiation physics, radiobiology, anatomy, imaging protocols and image evaluation. It seeks to provide readers insight into the practical and innovative approaches within CT, backed up with key literature and examples in practice. Recent innovations and the importance of new technology to acquire enhanced quality remain a focal point. These are essential in understanding the importance of dose optimization, patient anatomy and common pathology observed. Patient care will remain central in this book, supported with a dedicated chapter discussing effective communication, patient education, informed consent, coupled with the assessment of laboratory results and vital signs. The editors draw from recent publications and clinical expertise, supported with the growing trend of technological advances utilized within the CT environment. Critically, this volume focuses on the role of CT for an array of audiences but, more specifically, undergraduate and postgraduate radiographers worldwide.

This book addresses the difficult task of integrating computational techniques with virtual reality and healthcare. It discusses the use of virtual reality in various areas, such as healthcare, cognitive and behavioural training, understanding mathematical graphs, human-computer interaction, fluid dynamics in healthcare industries, accurate real-time simulation, and healthcare diagnostics. Presenting the computational techniques for virtual reality in healthcare, it is a valuable reference resource for professionals at educational institutes as well as researchers, scientists, engineers and practitioners in industry.

Biomedical Applications of Magnetic Particles discusses fundamental magnetic nanoparticle physics and chemistry and explores important biomedical applications and future challenges. The first section presents the fundamentals of the field by explaining the theory of magnetism, describing techniques to synthesize magnetic particles, detailing methods to characterize magnetic particles, and quantitatively describing the applied magnetic forces, torques, and the resultant particle motions. The second section describes the wide range of biomedical applications, including chemical sensors, cellular actuators, drug delivery, magnetic hyperthermia, magnetic resonance imaging contrast enhancement, and toxicity. Additional key features include: Covers both introduction to physics and characterization of magnetic nanoparticles and the state of the art in biomedical applications Authoritative reference for scientists and engineers for all new or old to the field Describes how the size of magnetic nanoparticles affects their magnetic properties, colloidal properties, and biological properties. Written by a team of internationally respected experts, this book provides an up-to-date authoritative reference for scientists and engineers.

Wearable Systems Based Gait Monitoring and Analysis provides a thorough overview of wearable gait monitoring techniques and their use in health analysis. The text starts with an examination of the relationship between the human body's physical condition and gait, and then introduces and explains nine mainstream sensing mechanisms, including piezoresistive, resistive, capacitive, piezoelectric, inductive, optical, air pressure, EMG and IMU-based architectures. Gait sensor design considerations in terms of geometry and deployment are also introduced. Diverse processing algorithms for manipulating sensors outputs to transform raw data to understandable gait features are discussed. Furthermore, gait analysis-based health monitoring demonstrations are given at the end of this book, including both medical and occupational applications. The book will enable students of biomedical engineering, electrical engineering, signal processing, and ergonomics and practitioners to understand the medical and occupational applications of engineering-based gait analysis and falling injury prevention methods.

This book offers a comprehensive analysis of philosophical, social, ethical, and legal challenges arising as a consequences of current advances in neurosciences and neurotechnology. It starts by offering an overview of fundamental concepts such as mental privacy, personal autonomy, mental integrity, and responsibility, among others. In turn, it discusses the influence of possible misuses or uncontrolled uses of neurotechnology on those concepts, and, more in general, on human rights and equality. Then, it makes some original proposals to deal with the main ethical, legal, and social problems associated to the use of neurotechnology, both in medicine and in everyday life, suggesting possible policies to protect privacy, neural data, and intimacy. Crossing the borders between humanities, natural sciences, bio-medicine, and engineering, and taking into account geographical and cultural differences, this book offers a conceptual debate around policy and decision making concerning some of the key neuroethical challenges of our times. It offers a comprehensive guide to the most important issues of neurojustice and neuroprotection, together with a set of new paradigms to face some of the most urgent neuroethical problems of our times.

Covers the challenges and obstacles involved in using nano-materials for actual applications. Discusses the latest advancements in the synthesis of various carbon based nano-materials. Self-contained source dedicated to understanding of Carbon nano-materials. Explores the area that satisfy needs of a diverse group of researchers, industrialists, educators and students. Interdisciplinary nature of book content makes it effective to connect the gap between disciplines.

Chitosan Based Biomaterials: Fundamentals, Volume 1, provides the latest information on chitosan, a natural polymer derived from the marine material chitin. Chitosan displays unique properties, most notably biocompatibility and biodegradability. It can also be easily tuned to modify its structure or properties, making chitosan an excellent candidate as a biomaterial. Consequently, chitosan is being developed for many biomedical functions, ranging from tissue engineering and implant coatings to drug and gene delivery. This book looks at the fundamentals of chitosan-based biomaterials.

This book is part of a two-part volume book that highlights the latest advances in innovative bioceramics applied in the highly interdisciplinary area referred to as "translational medicine". This volume covers the basic principles and techniques used in the manufacture of bioceramics and biocomposites for various biomedical applications including drug delivery, implantable bionics and the development of the cardiac pacemaker, and bone tissue engineering. Furthermore, self-healing materials have been attracting increasing interest in both engineering and medical applications during the past two decades. Self-healing hydrogels are particularly interesting because of their ability to repair structural damages and recover their original functions, specifically in tissue engineering.

This book presents a world-class collection of Brain-Computer Music Interfacing (BCMI) tools. The text focuses on how these tools enable the extraction of meaningful control information from brain signals, and discusses how to design effective generative music techniques that respond to this information. Features: reviews important techniques for hands-free interaction with computers, including event-related potentials with P300 waves; explores questions of semiotic brain-computer interfacing (BCI), and the use of machine learning to dig into relationships among music and emotions; offers tutorials on signal extraction, brain electric fields, passive BCI, and applications for genetic algorithms, along with historical surveys; describes how BCMI research advocates the importance of better scientific understanding of the brain for its potential impact on musical creativity; presents broad coverage of this emerging, interdisciplinary area, from hard-core EEG analysis to practical musical applications.

Medical Biosensors for Point of Care (POC) Applications discusses advances in this important and emerging field which has the potential to transform patient diagnosis and care. Part 1 covers the fundamentals of medical biosensors for point-of-care applications. Chapters in part 2 go on to look at materials and fabrication of medical biosensors while the next part looks at different technologies and operational techniques. The final set of chapters provide an overview of the current applications of this technology. Traditionally medical diagnostics have been dependent on sophisticated technologies which only trained professionals were able to operate. Recent research has focused on creating point-of-care diagnostic tools. These biosensors are miniaturised, portable, and are designed to be used at the point-of-care by untrained individuals, providing real-time and remote health monitoring.

This reference text discusses integrated approaches to improve the objectives of additive manufacturing in medical application. The text covers case studies related to product design and development, discuses biomaterials, applications of artificial intelligence and machine learning using additive manufacturing techniques. It covers important topics including 3D printing technology, materials for 3D printing in medicine, rapid prototyping in clinical applications, and use of additive manufacturing in customized bone tissue engineering scaffold. The text- Discusses additive manufacturing techniques and their utilization in medical applications. Covers important applications of additive manufacturing in the fields of medicine, education and space industry. Explores regulatory challenges associated with the emergence of additive manufacturing. Examines the use of rapid prototyping in clinical applications. The text will serve as a useful reference guide for graduate students and academic researchers in the fields of industrial engineering, manufacturing science, mechanical engineering, and aerospace engineering. This book discusses important application areas of additive manufacturing, including medicine, education, and the space industry, this reference text will be a serve as a useful text for graduate students and academic researchers in the fields of industrial engineering, manufacturing science, mechanical engineering, and aerospace engineering.

This book covers all various research areas using nano systems in the field of bio nanotechnology to fight against cancer for diagnosis and therapy including drug delivery from fundamentals to advanced levels. Book has designed such a way that, anyone who is interested to understand, learn or start his/her research career in the field of bio nanotechnology in cancer, can use as a gateway to enter in to the field as well as a serious advanced researcher can use as the reference text book. Due to multidisciplinary nature of the subject, the book has written so that advanced undergraduate, graduate, postgraduate and researchers from different fields can follow and understand the subject very easily. Plenty of figures and art works are used to convey the idea visibly and effortlessly

Stem cells hold great promise for cell therapy, tissue engineering, regenerative medicine and pharmaceutical and biotechnological applications. This book highlights the potency of stem cells, their property of self-renewal and their ability to differentiate into different cell lineages. It further describes the different markers to identify stem cells, sources, methods of isolation, culture including 2D, 3D and beyond and their cryopreservation. This is among the first books to discuss glycosylation and sialylation in stem cells. Chapters describe application of stem cells in regenerative medicine and therapy, and highlight their application in cancer therapy and spinal cord injury. The book talks about the important patents on stem cells. The book also highlights the plant stem cells, discussing their pluoripotent nature, role in organ regeneration after injury, specific stem cell niches, that signals to block differentiation studied in plants shoot, root, and vascular meristems, differentiation of plant stem cell, transcriptional regulation and epigenetic modification of plant stem cells. This book is exciting and cutting edge. It will be of great interest to doctors, students and researchers in the field of regenerative medicine, cancer , biotechnology and plant sciences.

This book presents fundamental requirements, electrical specification, and parameter tradeoffs of wearable EEG acquisition circuits, especially those compatible with dry electrodes for user-friendly recordings.  The authors introduce active electrode, the most promising solution for dry electrodes-based EEG measurement. This architectural concept has been combined with various, innovative circuit design techniques to illustrate structured IC design methodologies for high performance EEG recording. This book also gives examples on the design, implementation and evaluation of three generations of active electrode ICs.