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Books > Medicine > General issues > Medical equipment & techniques > General
This book presents the theoretical foundations of Systems Biology, as well as its application in studies on human hosts, pathogens and associated diseases. This book presents several chapters written by renowned experts in the field. Some topics discussed in depth in this book include: computational modeling of multiresistant bacteria, systems biology of cancer, systems immunology, networks in systems biology.
The application of nanotechnology within the medical sphere has had a significant influence on how diseases and conditions are treated and diagnosed. While many strides have been made, there is still continuous research on nanotechnology being performed in the field. Advancing Medicine through Nanotechnology and Nanomechanics Applications highlights emergent trends and empirical research on technological innovations in medicine and healthcare. Investigating the impact of nanotechnology and nanomechanics on the treatment of diseases, regenerative medicine, and drug delivery systems, this publication is a vital reference source for professionals, researchers, medical students, and engineering students.
The technology on our body, in our body and all around us enhances our health and well-being from conception to death. This environment is emerging now with intelligent caring machines, cyborgs, wireless embedded continuous computing, healthwear, sensors, healthons, nanomedicine, adaptive process control, mathematical modeling, and common sense systems. Human body and the world in which it functions is a continuously changing complex adaptive system. We are able to collect more and more data about it but the real challenge is to infer local dynamics from that data. Intelligent Caring Biomechatronic Creatures and Healthmaticians (mathematicians serving human health) have a better chance of inferring the dynamics that needs to be understood than human physicians. Humans can only process comfortably three dimensions while computers can see infinite number of dimensions. We will need to trust the distributed network of healthons, Intelligent Caring Creatures, and NURSES (New Unified Resource System Engineers) to create Health Extelligence. We need new vocabulary to push forward in a new way. For instance; healthons are tools combining prevention with diagnosis and treatment based on continuous monitoring and analyzing of our vital signs and biochemistry. The "Healthon Era" is just beginning. We are closer and closer to the world with healthons on your body, in your body and all around you; where not a doctor but your primary care healthmatician warns you about an approaching headache; and where NURSE programs your intelligent caring creatures so they can talk to your cells and stop disease in its tracks.
This book provides a comprehensive overview of different biomedical data types, including both clinical and genomic data. Thorough explanations enable readers to explore key topics ranging from electrocardiograms to Big Data health mining and EEG analysis techniques. Each chapter offers a summary of the field and a sample analysis. Also covered are telehealth infrastructure, healthcare information association rules, methods for mass spectrometry imaging, environmental biodiversity, and the global nonlinear fitness function for protein structures. Diseases are addressed in chapters on functional annotation of lncRNAs in human disease, metabolomics characterization of human diseases, disease risk factors using SNP data and Bayesian methods, and imaging informatics for diagnostic imaging marker selection. With the exploding accumulation of Electronic Health Records (EHRs), there is an urgent need for computer-aided analysis of heterogeneous biomedical datasets. Biomedical data is notorious for its diversified scales, dimensions, and volumes, and requires interdisciplinary technologies for visual illustration and digital characterization. Various computer programs and servers have been developed for these purposes by both theoreticians and engineers. This book is an essential reference for investigating the tools available for analyzing heterogeneous biomedical data. It is designed for professionals, researchers, and practitioners in biomedical engineering, diagnostics, medical electronics, and related industries.
Telemedicine has the potential to significantly alter structures, procedures, and eventually outcomes in healthcare structures worldwide. Today the field of telemedicine is still dominated by very committed efforts of research and development. However, there is a growing number of concepts and applications which have been implemented in clinical routine or are ready to be implemented. Health care providers, patients, third party payers, and not at least policy makers should be informed about these rapidly emerging applications, which could have a considerable impact on the delivery of health care. This book offers a comprehensive source of information not only for experts but also for the target groups mentioned above. It provides background information on legal aspects, issues concerning further development, and evaluation of telemedicine applications. The work also presents numerous projects covering the clinical fields of emergency medicine, surgery, oncology, cardiology, endocrinology, ophthalmology, dermatology, radiology, pathology, psychiatry and other clinical specialties. Recognizing the Internet as a major source of information on issues related to telemedicine and information technology in general, a 'Webliography' provides links to a selection of the most relevant Web sites on the Internet.
This book presents the proceedings of the KES International Conferences on Innovation in Medicine and Healthcare (KES-InMed-19), held in Split, Croatia, on June 17-19, 2020. Covering a number of key areas, including digital IT architecture in healthcare; advanced ICT for medicine and healthcare; biomedical engineering, trends, research and technologies; and healthcare support systems, this book is a valuable resource for researchers, managers, industrialists and anyone wishing to gain an overview of the latest research in these fields.
This book documents the state of the art in the field of ambient assisted living (AAL), highlighting the impressive potential of novel methodologies and technologies to enhance well-being and promote active ageing. The coverage is wide ranging, with sections on assistive devices, elderly people monitoring, home rehabilitation, ICT solutions for AAL, living with chronic conditions, robotic assistance for the elderly, sensing technologies for AAL, and smart housing. The book comprises a selection of the best papers presented at the 7th Italian Forum on Ambient Assisted Living (ForitAAL 2016), which was held in Pisa, Italy, in June 2016 and brought together end users, technology teams, and policy makers to develop a consensus on how to improve provision for elderly and impaired people. Readers will find that the expert contributions offer clear insights into the ways in which the most recent exciti ng advances may be expected to assist in addressing the needs of the elderly and those with chronic conditions.
Regular developments in technology continue to influence the medical and healthcare fields as they interact with information and computer sciences by methods of acquisition and the storage and retrieval of information. Methods, Models, and Computation for Medical Informatics is a comprehensive collection of research on computational capabilities, prototypes, and algorithms, as well as application in the areas of nursing, clinical care, public health, biomedical research, and much more. This book provides a better understanding of the models and methods used in the field of medicine for researchers, practitioners, and medical professionals alike.
This book offers examples of how data science, big data, analytics, and cloud technology can be used in healthcare to significantly improve a hospital's IT Energy Efficiency along with information on the best ways to improve energy efficiency for healthcare in a cost effective manner. The book builds on the work done in other sectors (mainly data centers) in effectively measuring and improving IT energy efficiency and includes case studies illustrating power and cooling requirements within Green Healthcare. Making Healthcare Green will appeal to professionals and researchers working in the areas of analytics and energy efficiency within the healthcare fields.
This new edition presents information and knowledge on the field of biomedical devices and surgical tools. The authors look at the interactions between nanotechnology, nanomaterials, design, modeling, and tools for surgical and dental applications, as well as how nanostructured surfaces can be created for the purposes of improving cell adhesion between medical devices and the human body. Each original chapter is revised in this second edition and describes developments in coatings for heart valves, stents, hip and knee joints, cardiovascular devices, orthodontic applications, and regenerative materials such as bone substitutes. There are also 8 new chapters that address: Microvascular anastomoses Inhaler devices used for pulmonary delivery of medical aerosols Surface modification of interference screws Biomechanics of the mandible (a detailed case study) Safety and medical devices The synthesis of nanostructured material Delivery of anticancer molecules using carbon nanotubes Nano and micro coatings for medical devices This book is appropriate for engineers, material scientists, chemists, physicists, biologists, medical and dental professionals with an interest in biomedical devices and tools, and researchers in the same fields.
As the biomedical engineering field expands throughout the world,
clinical engineers play an evermore-important role as translators
between the medical, engineering, and business professions. They
influence procedure and policy at research facilities,
universities, as well as private and government agencies including
the Food and Drug Administration and the World Health Organization.
The profession of clinical engineering continues to seek its place
amidst the myriad of professionals that comprise the health care
field.
Describes the properties of cellular membranes and their relationship with fundamental biological processes. This book provides insight on the chemistry, structures, model systems, and techniques employed for studying membrane properties and processes. A major focus is on the prominence of membranes in diverse physiological processes and disease, as well as applications of membranes and biomimetic membrane systems in varied disciplines. The book aims to illuminate the significance and beauty of membrane science, and serve both as an entry point for scholars wishing to embark on membrane research, as well as scientists already working in the field.
This book addresses various aspects of how smart healthcare can be used to detect and analyze diseases, the underlying methodologies, and related security concerns. Healthcare is a multidisciplinary field that involves a range of factors like the financial system, social factors, health technologies, and organizational structures that affect the healthcare provided to individuals, families, institutions, organizations, and populations. The goals of healthcare services include patient safety, timeliness, effectiveness, efficiency, and equity. Smart healthcare consists of m-health, e-health, electronic resource management, smart and intelligent home services, and medical devices. The Internet of Things (IoT) is a system comprising real-world things that interact and communicate with each other via networking technologies. The wide range of potential applications of IoT includes healthcare services. IoT-enabled healthcare technologies are suitable for remote health monitoring, including rehabilitation, assisted ambient living, etc. In turn, healthcare analytics can be applied to the data gathered from different areas to improve healthcare at minimum expense.
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.
This clear-sighted volume introduces the concept of "disruptive cooperation"- transformative partnerships between the health and technology sectors to eliminate widespread healthcare problems such as inequities, waste, and inappropriate care. Emphasizing the most pressing issues of a world growing older with long-term chronic illness, it unveils a new framework for personalized, integrative service based in mobile technologies. Coverage analyzes social aspects of illness and health, clinically robust uses of health data, and wireless and wearable applications in intervention, prevention, and health promotion. And case studies from digital health innovators illustrate opportunities for coordinating the service delivery, business, research/science, and policy sectors to promote healthier aging worldwide. Included among the topics: Cooperation in aging services technologies The quantified self, wearables, and the tracking revolution Smart healthy cities: public-private partnerships Beyond silos to data analytics for population health Cooperation for building secure standards for health data Peer-to-peer platforms for physicians in underserved areas: a human rights approach to social media in medicine Disruptive Cooperation in Digital Health will energize digital health and healthcare professionals in both non-profit and for-profit settings. Policymakers and public health professionals with an interest in innovation policy should find it an inspiring ideabook.
This book presents recent work on healthcare management and engineering using artificial intelligence and data mining techniques. Specific topics covered in the contributed chapters include predictive mining, decision support, capacity management, patient flow optimization, image compression, data clustering, and feature selection. The content will be valuable for researchers and postgraduate students in computer science, information technology, industrial engineering, and applied mathematics.
The Pacific Symposium on Biocomputing (PSB) 2015 is an international, multidisciplinary conference for the presentation and discussion of current research in the theory and application of computational methods in problems of biological significance. Presentations are rigorously peer reviewed and are published in an archival proceedings volume. PSB 2015 will be held from January 4 - 8, 2015 in Kohala Coast, Hawaii. Tutorials and workshops will be offered prior to the start of the conference.PSB 2015 will bring together top researchers from the US, the Asian Pacific nations, and around the world to exchange research results and address open issues in all aspects of computational biology. It is a forum for the presentation of work in databases, algorithms, interfaces, visualization, modeling, and other computational methods, as applied to biological problems, with emphasis on applications in data-rich areas of molecular biology.The PSB has been designed to be responsive to the need for critical mass in sub-disciplines within biocomputing. For that reason, it is the only meeting whose sessions are defined dynamically each year in response to specific proposals. PSB sessions are organized by leaders of research in biocomputing's "hot topics." In this way, the meeting provides an early forum for serious examination of emerging methods and approaches in this rapidly changing field.
This book presents a comprehensive and up-to-date treatise of a range of methodological and algorithmic issues. It also discusses implementations and case studies, identifies the best design practices, and assesses data analytics business models and practices in industry, health care, administration and business.Data science and big data go hand in hand and constitute a rapidly growing area of research and have attracted the attention of industry and business alike. The area itself has opened up promising new directions of fundamental and applied research and has led to interesting applications, especially those addressing the immediate need to deal with large repositories of data and building tangible, user-centric models of relationships in data. Data is the lifeblood of today's knowledge-driven economy.Numerous data science models are oriented towards end users and along with the regular requirements for accuracy (which are present in any modeling), come the requirements for ability to process huge and varying data sets as well as robustness, interpretability, and simplicity (transparency). Computational intelligence with its underlying methodologies and tools helps address data analytics needs.The book is of interest to those researchers and practitioners involved in data science, Internet engineering, computational intelligence, management, operations research, and knowledge-based systems.
This volume provides an overview of RNA bioinformatics methodologies, including basic strategies to predict secondary and tertiary structures, and novel algorithms based on massive RNA sequencing. Interest in RNA bioinformatics has rapidly increased thanks to the recent high-throughput sequencing technologies allowing scientists to investigate complete transcriptomes at single nucleotide resolution. Adopting advanced computational technics, scientists are now able to conduct more in-depth studies and present them to you in this book. Written in the highly successful Methods of Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and equipment, step-by-step, readily reproducible bioinformatics protocols, and key tips to avoid known pitfalls. Authoritative and practical, RNA Bioinformatics seeks to aid scientists in the further study of bioinformatics and computational biology of RNA.
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