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Experts from academia and industry highlight the potential of genome-wide association studies from basic science to clinical and biotechnological/pharmaceutical applications.
Diabetes mellitus is a chronic metabolic disease characterized by elevated blood glucose levels, which severely affects the quality of life and survival of patients. The latest data from the International Diabetes Federation showed that there are approximately 537 million diabetic patients globally in 2021, and it is expected to reach 783 million by 2045. The treatment regime of diabetic patients mainly refers to the management of blood glucose and its complications. At present, typical hypoglycemic medications include insulin and non-insulin hypoglycemic drugs, which can be subdivided into a-glucosidase inhibitors, metformin, thiazolidinediones, sulfonylureas, glinides, DPP-4i, GLP-1RA, and...
Artificial intelligence (AI) has shown promise as an effective tool in disaster preparedness and response, providing a unique perspective on some of the most urgent health challenges. Rapid advances in AI technology can potentially revolutionize the way how we respond to emergencies and disasters that affect the world's health, including early warning systems, resource allocation, and real-time decision-making. This Research Topic aims to explore the latest developments in AI and its applications in global health and disaster response, providing a comprehensive overview of the potential and challenges of AI in improving health outcomes in crises. This Research Topic will bring together leading researchers, practitioners, and policymakers in global health and disaster response to share their experiences and insights on how AI can be leveraged to improve response efforts and enhance healthcare delivery.
Now in its second edition, this handbook collects authoritative contributions on modern methods and tools in statistical bioinformatics with a focus on the interface between computational statistics and cutting-edge developments in computational biology. The three parts of the book cover statistical methods for single-cell analysis, network analysis, and systems biology, with contributions by leading experts addressing key topics in probabilistic and statistical modeling and the analysis of massive data sets generated by modern biotechnology. This handbook will serve as a useful reference source for students, researchers and practitioners in statistics, computer science and biological and biomedical research, who are interested in the latest developments in computational statistics as applied to computational biology.
This book constitutes the refereed proceedings of the First International Conference on Smart Blockchain, SmartBlock 2018, held in Tokyo, Japan, in December 2018. The 17 papers presented in this volume were carefully reviewed and selected from 102 submissions. They focus on a broad range of topics in the area of blockchain, from privacy-preserving solutions to designing advanced blockchain mechanism, from empirical studies to practical manuals.
Waste to Profit: Environmental Concerns and Sustainable Development gives information about selecting the most suitable technology for waste treatment and energy recovery under different conditions. It contains techno-economic analysis, life cycle assessment, optimization of tools and technologies, including overview of various technologies involved in the treatment of wastes and factors influencing the involved processes. Finally, it explores the environmental, socioeconomic, and sustainability impact of different waste-to-energy systems. Features: Reviews energy sources and technologies from waste, their environmental interactions, and the relevant global energy policies Provides overview ...
Next Generation Sequencing (NGS) is the latest high throughput technology to revolutionize genomic research. NGS generates massive genomic datasets that play a key role in the big data phenomenon that surrounds us today. To extract signals from high-dimensional NGS data and make valid statistical inferences and predictions, novel data analytic and statistical techniques are needed. This book contains 20 chapters written by prominent statisticians working with NGS data. The topics range from basic preprocessing and analysis with NGS data to more complex genomic applications such as copy number variation and isoform expression detection. Research statisticians who want to learn about this grow...
Much progress has been made in diabetes technology over the past decade. Continuous glucose monitoring has achieved high accuracy and reliability resulting in increased usage worldwide. Likewise, insulin pumps are becoming smarter and easier to use. More recently, sensor insulin pump therapy has been improved, with great benefits for patients in optimizing blood glucose control and preventing hypoglycemia. Further progress has been made with the introduction of advanced closed-loop control (CLC) systems that combine both technologies with the addition of an algorithm that allows hypo and hyperglycemia to be minimized through self-correcting boluses.
This 13-volume set LNCS 14862-14874 constitutes - in conjunction with the 6-volume set LNAI 14875-14880 and the two-volume set LNBI 14881-14882 - the refereed proceedings of the 20th International Conference on Intelligent Computing, ICIC 2024, held in Tianjin, China, during August 5-8, 2024. The total of 863 regular papers were carefully reviewed and selected from 2189 submissions. This year, the conference concentrated mainly on the theories and methodologies as well as the emerging applications of intelligent computing. Its aim was to unify the picture of contemporary intelligent computing techniques as an integral concept that highlights the trends in advanced computational intelligence and bridges theoretical research with applications. Therefore, the theme for this conference was "Advanced Intelligent Computing Technology and Applications". Papers that focused on this theme were solicited, addressing theories, methodologies, and applications in science and technology.