Zbornik je končni izbor prispevkov, predstavljenih na delavnici Biografski podatki v digitalnem svetu 2022 (Biographical Data in a Digital World 2022), ki je potekala v okviru konference Digital Humanities 2022 (DH2022), vodilne serije konferenc na področju digitalne humanistike, od 25. do 29. julija 2022 v Tokiu; delavnica je bila 25. Prispevki na konferenci in v zborniku pokrivajo tri teme: analiza omrežij in semantični splet; iskanje in priprava biografskih podatkov za raziskave ter primeri uporabe in napredni načini dela z biografijami in biografskimi podatki.

This book constitutes the proceedings of the 26th International Conference on Theory and Practice of Digital Libraries, TPDL 2022, which took place in Padua, Italy, in September 2022. The 18 full papers, 27 short papers and 15 accelerating innovation papers included in these proceedings were carefully reviewed and selected from 107 submissions. They focus on digital libraries and associated technical, practical, and social issues.

Real-world evidence is defined as evidence generated from real-world data outside randomized controlled trials. As scientific discoveries and methodologies continue to advance, real-world data and their companion technologies offer powerful new tools for evidence generation. Real-World Evidence in a Patient-Centric Digital Era provides perspectives, examples, and insights on the innovative application of real-world evidence to meet patient needs and improve healthcare, with a focus on the pharmaceutical industry. This book presents an overview of key analytical issues and best practices. Special attention is paid to the development, methodologies, and other salient features of the statistical and data science techniques that are customarily used to generate real-world evidence. It provides a review of key topics and emerging trends in cutting-edge data science and health innovation. Features: Provides an overview of statistical and analytic methodologies in real-world evidence to generate insights on healthcare, with a special focus on the pharmaceutical industry Examines timely topics of high relevance to industry such as bioethical considerations, regulatory standards, and compliance requirements Highlights emerging and current trends, and provides guidelines for best practices Illustrates methods through examples and use-case studies to demonstrate impact Provides guidance on software choices and digital applications for successful analytics Real-World Evidence in a Patient-Centric Digital Era will be a vital reference for medical researchers, health technology innovators, data scientists, epidemiologists, population health analysts, health economists, outcomes researchers, policymakers, and analysts in the healthcare industry.

As technology continues to develop, the healthcare industry must adapt and implement new technologies and services. Recent advancements, opportunities, and challenges for bio-medical image processing and authentication in telemedicine must be considered to ensure patients receive the best possible care. Advancements in Bio-Medical Image Processing and Authentication in Telemedicine introduces recent advancements, opportunities, and challenges for bio-medical image processing and authentication in telemedicine and discusses the design of high-accuracy decision support systems. Covering key topics such as artificial intelligence, medical imaging, telemedicine, and technology, this premier reference source is ideal for medical professionals, nurses, policymakers, researchers, scholars, academicians, practitioners, instructors, and students.

This book provides an interdisciplinary concept of digital working environments in industry 4.0 to enable the implementation of the digital twin of humans. Information and communication technology is penetrating all areas of daily life at a rapid pace in private and professional areas. These technologies enable companies to aggregate huge volumes of data. Collected personal data of employees creates the opportunity of a digital representation of the human being itself, that is conformant with the definition of a digital twin. These digital twins of humans include selected characteristics and behaviour of the humans, that are linked to models, information, and data. According to existing trend studies, the digital twin of humans is a technology that will have a significant impact on the economy, society, and people. It is important to consider the regulatory framework for the use of personal data and threats of misuse. This book will be of use to researchers and professionals in industry.

Within the past decade, we have witnessed an increased adoption of emerging technologies as well as the exponential pace of scientific discoveries within all industries. The level of digital innovation and digital transformation experienced in healthcare and life sciences has been markedly accelerated by the COVID-19 pandemic. There is a new sense of urgency to design and develop a new global health ecosystem that is more suitable for the digital era and future generations. Deploying precision medicine solutions that can redefine the way we diagnose and treat disease, as well as shift the focus towards a customized human-centered approach, such as those offered by personalized medicine, can be a viable sustainable model. Digital Identity in the New Era of Personalized Medicine highlights the latest trends in precision medicine and the important role digital identity plays in upholding ethical values, safeguarding human rights, and practicing responsible personalized medicine. It provides an overview of the current healthcare legal and regulatory landscapes as well as some of the major challenges and opportunities we face in this digital, virtual, and precision medicine-powered era. Covering topics such as data-centric compliance, global health, and identity management, this book is an essential resource for doctors, healthcare administration, academicians, clinicians, health and bio-tech executives, researchers, medical professionals, medical engineers, medical students, and government officials looking for a resource that addresses challenges in healthcare including trust, privacy, data integrity, and ownership.

Nature gives us ample opportunity to understand and observe her secrets, and scientists and inventors can and do study the characteristics of things in nature to come up with amazing and astonishing technologies and products invented as a result. This new volume provides a sampling of technological issues that have been tackled with the help of biologically inspired engineering, by such things in nature as bionic plants, the lotus leaf, insects and beetles, geckos, bats, spiders, and butterflies. It considers bio-inspired technologies that have been applied in water purification, for business lessons, in healthcare and medicine, and more. This unique volume is an inspiring resource for professionals, researchers, scholars, engineers, and businessmen and businesswomen interested in the latest developments by studying the wonders of natural science.

The book presents current research advances, both academic and industrial, in machine learning, artificial intelligence, and data analytics for biomedical and healthcare applications. The book deals with key challenges associated with biomedical data analysis including higher dimensions, class imbalances, smaller database sizes, etc. It also highlights development of novel pattern recognition and machine learning methods specific to medical and genomic data, which is extremely necessary but highly challenging. The book will be useful for healthcare professionals who have access to interesting data sources but lack the expertise to use data mining effectively.

Proceedings of the 5th International Conference on Intelligent Human Systems Integration (IHSI 2022): Integrating People and Intelligent Systems, February 22–24, 2022, Venice, Italy