August 31-01 September, 2017 Prague, Czech Republic Key Topics : Medical Informatics, Medical Informatics and Biomedical Informatics, Medical Informatics and Telemedicine, Medical Informatics and Clinical Informatics, Medical Informatics and Health System, Medical Informatics and Telehealth, Medical Informatics and Health Informatics, Medical Informatics and Electronic Medical Records, Medical Informatics and Nursing, Medical Informatics and Neuroinformatics, Behavioural Neurology, Medical Informatics and Public Health, Epidemiology, Medical Informatics and Healthcare Technologies, Medical Informatics and Ethics, Medical Informatics and Services, Medical Informatics and Research, Medical Informatics and Engineering, Medical Informatics and Biostatistics, Medical Informatics and Obstetrics, Medical Informatics and Imaging Informatics, Medical Informatics and Informatic Management, Medical Informatics and Health Information technology, Aging and eHealth,

Mar 27-28, 2017 Madrid, Spain Key Topics : Cell Therapy, Cellular Therapy Technologies, Cell Therapy of Cardiovascular Disorders, Cell Therapy for Cancer, Cell Culture & Bioprocessing:, Cell Science & Stem Cell Research:, Cell Line Development, Tissue Science & Regenerative Medicine, Gene Therapy, Viral gene therapy, Diabetis Gene Therapy, Vectors for Gene Therapy, Molecular Epigenetics, Genetics & Genomic Medicine, Gene Therapy Commercialization, Clinical trials in cell and gene therapy, Gene Therapy for rare & Common Diseases, Gene Editing Technology, Cell Therapy for Neurological Disorders, Ethical Issues in Cell & Gene Therapy, Regulatory & Safety Aspects of Cell & Gene Therapy, Clinical Trails on Cell & Gen Therapy, Markets & Future Prospects for Cell & Gene Therapy, Cell & Gene Therapy Products,

The need to promote academic activities in telehealth remains a high priority as the discipline expands into new areas of healthcare. Response during 2020 to the COVID-19 pandemic has provided an excellent example of the rapid diversification and impact attainable with telehealth, and may kindle a new momentum for accelerated service design and adoption processes in the future. This book, Telehealth Innovations in Remote Healthcare Services Delivery, is the tenth in the Global Telehealth series. Due to the prevailing COVID-19 pandemic and the restrictions placed on academic gatherings, the organizers issued a general call for contributions, with the intention of attracting a wide cross-section of contributions reflecting the breadth of different aspects of telehealth internationally. The resulting collection offers snapshots of research projects and studies of service experience from five continents, with an emphasis on delivering benefits in regional settings in keeping with the theme of the book’s title. Articles range from descriptions of telehealth networks and clinical-service instances such as cardiac health, mental health and pathology, several in Pacific-rim settings, to more generic papers on the evolution of such services, as well as commentaries on innovative considerations for telehealth such as the emergence of the concept of virtual care, the suitability of health apps, and the status of eHealth readiness in the developing world. This book is a valuable contribution to the body of knowledge on current telehealth research interests and trends, and will be of interest to all those working in the field.

This book covers the growing convergence between Blockchain and Artificial Intelligence for Big Data, Multi-Agent systems, the Internet of Things and 5G technologies. Using real case studies and project outcomes, it illustrates the intricate details of blockchain in these real-life scenarios. The contributions from this volume bring a state-of-the-art assessment of these rapidly evolving trends in a creative way and provide a key resource for all those involved in the study and practice of AI and Blockchain.

Reviews IoT software architecture and middleware, data processing and management, security, privacy and reliability, architectures, protocols, technologies, algorithms, and smart objects, sensors, and actuators Explores IoT as it applies to energy, including energy efficiency and management, intelligent energy management, smart energy through blockchain and energy-efficient/aware routing/scheduling challenges and issues Examines IoT as it applies to healthcare including biomedical image and signal analysis, and disease prediction and diagnosis Examines IoT as it applies to smart industry including architecture, blockchain, and Industry 4.0 Discusses different ways to create a better IoT network or IoT platform

The Healthcare industry is one of the largest and rapidly developing industries. Over the last few years, healthcare management is changing from disease centered to patient centered. While on one side the analysis of healthcare data plays an important role in healthcare management, but on the other side the privacy of a patient’s record must be of equal concern. This book uses a research-oriented approach and focuses on privacy-based healthcare tools and technologies. It offers details on privacy laws with real-life case studies and examples, and addresses privacy issues in newer technologies such as Cloud, Big Data, and IoT. It discusses the e-health system and preserving its privacy, and the use of wearable technologies for patient monitoring, data streaming and sharing, and use of data analysis to provide various health services. This book is written for research scholars, academicians working in healthcare and data privacy domains, as well as researchers involved with healthcare law, and those working at facilities in security and privacy domains. Students and industry professionals, as well as medical practitioners might also find this book of interest.

Medical informatics is increasingly central to the effective and efficient delivery of healthcare today. This book presents the proceedings of the European Federation for Medical Informatics Special Topic Conference (EFMI STC 2017), held in Tel Aviv, Israel, in October 2017. The theme and title of the 2017 edition of this annual conference is ‘The practice of patient centered care: Empowering and engaging patients in the digital era’. The aim of the conference series is to increase interaction and collaboration between the stakeholder groups from both health and ICT across, but not limited to, Europe by providing a platform for researchers, data scientists, practitioners, decision makers and entrepreneurs to discuss sustainable and inclusive digital health innovations aimed at the engagement and empowerment of patients/consumers. The book is divided into 3 sections: full papers, short communications, and posters, and covers a wide range of topics from the field of medical informatics. It will be of interest to healthcare planners and providers everywhere.

This book aims to apply state-of-the-art advanced computational intelligence frameworks in healthcare. It presents recent and real-life applications of computationally intelligent healthcare. It also discusses problems and solutions to remote healthcare and emergency healthcare services. Healthcare Analytics and Advanced Computational Intelligence highlights modern ambient intelligence-enabled healthcare models along with advanced topics like quantum computing in healthcare and cryptomedical systems. Healthcare Analytics and Advanced Computational Intelligence examines designing the latest medical systems and models that will allow the societal acceptance of ambiance computing in healthcare, medical imaging, health analytics, machine intelligence, sensory computing, medical data analytics, disease detection, telemedicine, and their applications. It includes diverse case studies dealing with various clinical-based applications. These intelligent models are primarily structured to deal with complex real-world issues in clinical data analytics, by means of state-of-the-art techniques with general implementation, domain-specific solutions, or hybrid methods which integrate computational intelligence with conventional statistical methods. The book is written for researchers and academicians in diverse areas. Engineers from technical disciplines such as computer engineering are likely to purchase the book. Various sub-streams such as machine learning, big data analytics, healthcare analytics, and computational intelligence will find the book significant for their curriculum.

Innovation in Health Informatics: A Smart Healthcare Primer explains how the most recent advances in information and communication technologies have paved the way for new breakthroughs in healthcare. The book showcases current and prospective applications in a context defined by an imperative to deliver efficient, patient-centered and sustainable healthcare systems. Topics discussed include big data, medical data analytics, artificial intelligence, machine learning, virtual and augmented reality, 5g and sensors, Internet of Things, nanotechnologies and biotechnologies. Additionally, there is a discussion on social issues and policy- making for the implementation of smart healthcare. This book is a valuable resource for undergraduate and graduate students, practitioners, researchers, clinicians and data scientists who are interested in how to explore the intersections between bioinformatics and health informatics. - Provides a holistic discussion on the new landscape of medical technologies, including big data, analytics, artificial intelligence, machine learning, virtual and augmented reality, 5g and sensors, Internet of Things, nanotechnologies and biotechnologies - Presents a case study driven approach, with references to real-world applications and systems - Discusses topics with a research-oriented approach that aims to promote research skills and competencies of readers

The idea behind this book is to simplify the journey of aspiring readers and researchers to understand Big Data, IoT and Machine Learning. It also includes various real-time/offline applications and case studies in the fields of engineering, computer science, information security and cloud computing using modern tools. This book consists of two sections: Section I contains the topics related to Applications of Machine Learning, and Section II addresses issues about Big Data, the Cloud and the Internet of Things. This brings all the related technologies into a single source so that undergraduate and postgraduate students, researchers, academicians and people in industry can easily understand them. Features Addresses the complete data science technologies workflow Explores basic and high-level concepts and services as a manual for those in the industry and at the same time can help beginners to understand both basic and advanced aspects of machine learning Covers data processing and security solutions in IoT and Big Data applications Offers adaptive, robust, scalable and reliable applications to develop solutions for day-to-day problems Presents security issues and data migration techniques of NoSQL databases