Today's healthcare organizations must focus on a lot more than just the health of their clients. The infrastructure it takes to support clinical-care delivery continues to expand, with information technology being one of the most significant contributors to that growth. As companies have become more dependent on technology for their clinical, administrative, and financial functions, their IT departments and expenditures have had to scale quickly to keep up. However, as technology demands have increased, so have the options for reliable infrastructure for IT applications and data storage. The one that has taken center stage over the past few years is cloud computing. Healthcare researchers are moving their efforts to the cloud because they need adequate resources to process, store, exchange, and use large quantities of medical data. Cloud Computing in Medical Imaging covers the state-of-the-art techniques for cloud computing in medical imaging, healthcare technologies, and services. The book focuses on Machine-learning algorithms for health data security Fog computing in IoT-based health care Medical imaging and healthcare applications using fog IoT networks Diagnostic imaging and associated services Image steganography for medical informatics This book aims to help advance scientific research within the broad field of cloud computing in medical imaging, healthcare technologies, and services. It focuses on major trends and challenges in this area and presents work aimed to identify new techniques and their use in biomedical analysis.

This book surveys the distinctions that underlie the unbound potential and existential risks of life expansion and radical modifications posed by a transhuman world. Humanness is in flux as human bodies are being hacked and altered in their quest for super wellness, super intelligence and super longevity. Now is the time to discuss how best to think about dealing with bodies that have been hacked to exceed natural physical limits or more technically, species typical functioning. Enter the advent of transhumanism to take uncertainty by the horns. According to transhumanists, death is unnecessary and medical conventions undermine the possibility to radically evolve. To biohackers, there is no need to wait to explore the risks that conventional medicine dares not. This book is of interest to anyone interested in tapping into this growing movement of modifying the human body as it is right now.

Key Advances in Clinical Informatics: Transforming Health Care through Health Information Technology provides a state-of-the-art overview of the most current subjects in clinical informatics. Leading international authorities write short, accessible, well-referenced chapters which bring readers up-to-date with key developments and likely future advances in the relevant subject areas. This book encompasses topics such as inpatient and outpatient clinical information systems, clinical decision support systems, health information technology, genomics, mobile health, telehealth and cloud-based computing. Additionally, it discusses privacy, confidentiality and security required for health data. Edited by internationally recognized authorities in the field of clinical informatics, the book is a valuable resource for medical/nursing students, clinical informaticists, clinicians in training, practicing clinicians and allied health professionals with an interest in health informatics.

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.

Nanobiomaterials Science, Development and Evaluation examines the practical aspects of producing nanostructured biomaterials for a range of applications. With a strong focus on materials, such as metals, ceramics, polymers, and composites, the book also examines nanostructured coatings and toxicology aspects. Chapters in Part One look at materials classes and their synthesis with information on all major material groups. Part Two focuses on nanostructured coatings and practical aspects associated with the use of nanobiomaterials in vivo. This book brings together the work of international contributors who are actively engaged on the forefront of research in their respective disciplines, and is a valuable resource for materials scientists in academia, industry, and all those who wish to broaden their knowledge in the allied field.

This book covers various aspects of cancer chemoprevention, including an overview of chemoprevention in the process of tumorigenesis; the roles of various phytochemicals, functional foods, and dietary interventions in disease prevention; and techniques such as cancer stem cell targeting, nano-formulations, and so forth. The nutrigenomic and epigenetic effects of natural products at the molecular and genetic levels are also covered alongside their potential for additive and synergistic effect, as well as overcoming drug resistance. The key selling features of the book are as follows: Discusses holistic and comprehensive areas of chemoprevention Includes diverse techniques, such as cancer stem cell targeting, nano-formulations, and nanotechnology-based drug delivery systems Introduces various mechanisms involved in prevention of the diseases, including targeting cancer stem cells Reviews various aspects which can reduce the toxicity and cost of treatment of diseases by alternative medicine Explores various sources, mechanisms, and ways to develop cancer chemopreventive agents with minimal toxicity compared to traditional cancer therapy drugs This book is focused on researchers and graduate students in drug delivery and formulation, nanobiotechnology, cancer chemoprevention, prevention, and therapeutics.

Focuses on the Internet of Healthcare Things and innovative solutions developed for use in the application of healthcare services Discusses artificial intelligence applications, experiments, core concepts, and cutting-edge themes Demonstrates new approaches to analysing medical data and identifying ailments using AI to improve overall quality of life Introduces fundamental concepts for designing the Internet of Healthcare Things solutions Includes pertinent case studies and applications

- First book to focus on deep learning-based approaches in the field of cancer diagnostics. - Covers the state of the art across a wide-range of topics. - Topics include preprocessing data, prediction of cancer susceptibility and reoccurence, detection of different cancers, complexity and challenges.

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 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.

Presents the state of the art in conductive composite materials and their application in flexible strain sensors Uniquely combines the processing, structure, properties, and applications of conductive polymer composites Integrates theory and practice Benefits plastics converters who wish to take full advantage of the potential of conductive plastic materials

Explains theory and practical applications of nanomaterials as antiviral agents Reviews upscaling of nanomaterials from laboratory to fabrication stage Illustrates nanocurcumin, silver nanoparticles, and carbon nanoparticles for biomedical applications Highlights role of nanotechnology in effectively combating viral infections and pandemics Includes case studies of specific pharma companies

This comprehensive compendium provides an up-to-date scientific source of biomedical engineering principles of 'replacement parts and assist devices' for the bionic man. It covers biomechanics, biochemistry, rehabilitation, tissue engineering, and sports science, as well as applications in cardiovascular, visual, auditory, and neurological systems.The useful reference text benefits students, scientists, and laymen keen in understanding the fundamental underlying principles of biomedical devices and procedures, along with recent advances in transplant methodology, gene therapy, stem cell research, and sports science.This unique volume provides numerous test questions in selected chapters with answers in the Appendix. Numerous color figures provide additional emphasis and vivacity to the written content.

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.

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 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.

Conventional computed tomography (CT) techniques employ a narrow array of x-ray detectors and a fan-shaped x-ray beam to rotate around the patient to produce images of thin sections of the patient. Large sections of the body are covered by moving the patient into the rotating x-ray detector and x-ray source gantry. Cone beam CT is an alternative technique using a large area detector and cone-shaped x-ray beam to produce 3D images of a thick section of the body with one full angle (360 degree or 180 degree plus detector coverage) rotation. It finds applications in situations where bulky, conventional CT systems would interfere with clinical procedures or cannot be integrated with the primary treatments or imaging systems. Cone Beam Computed Tomography explores the past, present, and future state of medical x-ray imaging while explaining how cone beam CT, with its superior spatial resolution and compact configuration, is used in clinical applications and animal research. The book: Supplies a detailed introduction to cone beam CT, covering basic principles and applications as well as advanced techniques Explores state-of-the-art research and future developments while examining the fundamental limitations of the technology Addresses issues related to implementation and system characteristics, including image quality, artifacts, radiation dose, and perception Reviews the historical development of medical x-ray imaging, from conventional CT techniques to volumetric 3D imaging Discusses the major components of cone beam CT: image acquisition, reconstruction, processing, and display A reference work for scientists, engineers, students, and imaging professionals, Cone Beam Computed Tomography provides a solid understanding of the theory and implementation of this revolutionary technology.

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.