We are now entering the third decade of the 21st Century, and, especially in the last years, the achievements made by scientists have been exceptional, leading to major advancements in the fast-growing field of health services. “Advancements and Challenges in Implementation Science: 2022”, led by Professor Nick Sevdalis, Specialty Chief Editor of the Implementation Science section, is focused on new insights, novel developments, current challenges, latest discoveries, recent advances and future perspectives in the field of implementation science.

We are now entering the third decade of the 21st Century, and, especially in the last years, the achievements made by scientists have been exceptional, leading to major advancements in the fast-growing field of health services. “Advancements and Challenges in Implementation Science: 2023”, led by Professor Nick Sevdalis, Specialty Chief Editor of the Implementation Science section, together with Dr Xiaolin Wei and Dr Alexandra Ziemann, is focused on new insights, novel developments, current challenges, latest discoveries, recent advances and future perspectives in the field of implementation science. The research topic solicits brief, forward-looking contributions that outline recent developments and major accomplishments that have been achieved and that need to occur to move the field forward. Authors are encouraged to identify the greatest challenges in the sub-disciplines and how to address those challenges.

Personalized medicine (precision medicine) is an evolving field that comprises medical interventions tailored to individuals or groups of patients. It is designed to facilitate enhanced screening and earlier disease detection, more precise disease diagnosis, and improved treatment. Personalized medicine allows patients to receive specific therapies that work best for them aiming for more effective treatment, better outcomes, safer clinical managements and more efficient health systems.

This book describes the contributing aspects of contemporary developments related to sustainable agricultural resources and assessment of sustainable agriculture in developing nations. The issues like food crisis and declining agro-productivity, post-pandemic food security, zonation and mapping technique viewing food crisis, biotechnology and sustainable agricultural, scaling hunger indices, health hazard and food crisis, changing climate and food availability, consumer load and fertilizer usage, growing demand and increasing usage of harmful chemical in agro-fields are regarded as serious concerns. Thereafter, the scope of sustainable agricultural potentiality (SAP) modeling, amidst the arena of deforestation and encroachment of new cultivable land, impact of pandemic on sustainable agriculture, using wastewater as non-sustainable agricultural practice, applying geospatial techniques on extreme weather susceptibility and agro-production, soil erosion and poor agricultural production, questioning shifting cultivation on the issue of sustainability, meteorological drought and irrigational gaps, occupational mobility and loss of agricultural heritage, farm-excreta burning and air quality index (AQI), GI-Science and sustainable agro-management, community preparedness in food crisis management, multi-criteria hunger index (MCHI), climate change declining sustainable agro-production are worth some. Almost the entire world has recently suffered from several natural and human-induced problems, among which food crisis and unsustainable agriculture throw significant challenges to human society. Contrastingly, if modern technology and means, with advanced monitoring and calibration methodology and policy guidance, can help, it will undoubtedly reduce half of the world's problems and ensure the future survival of human society. In addition, this approach also can minimize the other partially linked problems, like climate change and food shortage, livelihood crisis, environmental refugees, international trade balance, global food supply chain interruption, the ever-expanding gap between rich and poor, and so on. Therefore, properly nurturing the knowledge on the application of GI-Science for an agriculturally sustainable society and their monitoring and management can curtail the gap between science, policy, and the ground-level scenario concerned.

The technological advances in Biomedical and Health Informatics (BMHI) in the last 4 decades could barely have been imagined when the field was in its infancy. At the time, computers were large and unwieldy, memory was measured in kilobytes, and the Internet was accessible only to people in the technology professions. How the world has changed. The skills of BMHI are now essential for everyone who participates in healthcare, from practitioners and researchers to administrators and patients. This book presents the 17 accepted papers of the International Symposium on Achievements, Milestones, and Challenges in Biomedical and Health Informatics (BMHI), held in Athens, Greece, on 29 October 2022. This event marks the retirement of Professor John Mantas, whose career in BMHI spans over 40 years, and a number of eminent colleagues from around the world were invited to present original review papers in their respective domains, not only to celebrate the work of Professor Mantas, but to review the achievements, milestones, and challenges of BMHI. Most of those presenting papers have worked in the field for decades, and their collective experience and wisdom highlights the accomplishments and limitations of the field. Each paper was peer reviewed by 3 independent reviewers before being thoroughly revised ensuring the high quality of the accepted papers. The book is dedicated to the entire BMHI community. It covers the achievements attained, the milestones reached, and the challenges which have been overcome or which have not been conquered, and provides knowledge and perspective for both learners and practitioners in the field.

This book provides a comprehensive exploration of Industry 6.0, which marks the convergence of intelligent systems, machine learning (ML), deep learning, and human–robot collaboration (HRC) in various sectors. It focuses on how these technologies enable businesses to harness insights from vast datasets, optimize operations, forecast maintenance requirements, and mitigate outages. In this comprehensive book, the authors cover the major aspects of Industry 6.0, including the latest advances in technology, new applications, and the many challenges that accompany the process that is changing it. This book acts as a compass, guiding readers through the labyrinth of Industry 6.0, revealing the complex interactions between technologies, new applications, innovations, and business ecosystems. From a multidisciplinary perspective, the book explores the far‐reaching impact of Industry 6.0 on the business world, revealing its potential to increase productivity, improve decision‐making, and open new opportunities for development. Discusses the transformative impact of Industry 6.0 driven by the convergence of artificial intelligence (AI), ML, and the industrial internet of things (IIoT) in manufacturing Explores the transformative potential of HRC in modern manufacturing, emphasizing the ability of HRC to boost productivity, flexibility, and safety Compares several service models in cloud computing, with a focus on private, public, and community cloud deployment methods Presents information about autism spectrum disorder (ASD) in children and the advanced technology of convolutional neural networks used to detect autism in children Describes the accurate diagnosis of Alzheimer’s disease through integrating state‐of‐the‐art technologies, especially deep learning Focuses on digital adaptation in India’s agricultural sector, especially Uttar Pradesh, highlighting challenges and prospects Presents a visionary leap into Agriculture 6.0, where technology and tradition converge for sustainable farming solutions Provides the mitigation strategies for climate change over multiple locations Explores the transformative impact of recent computational intelligence advancements in vehicle surveillance and recognition, particularly through CCTV analysis Focuses on the exploration and development of a supply chain network design (SCND) model of milk products This book will be of interest to researchers, academics, practitioners, technology providers, undergraduate and postgraduate students, scholars, consultants, advisors, and doctors. It can be used by undergraduate and postgraduate students pursuing Industry 6.0 programs in computer science and engineering across the globe.