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Computational methodologies and modeling play a growing role for investigating mechanisms, and for the diagnosis and therapy of human diseases. This progress gave rise to computational medicine, an interdisciplinary field at the interface of computer science and medicine. The main focus of computational medicine lies in the development of data analysis methods and mathematical modeling as well as computational simulation techniques specifically addressing medical problems. In this book, we present a number of computational medicine topics at several scales: from molecules to cells, organs, and organisms. At the molecular level, tools for the analysis of genome variations as well as cloud com...
Expert researchers and physician/clinicians describe in detail the newest and most commonly used technologies today in this rapidly advancing field. The authors provide readily reproducible methods for assessing the functional consequences of a certain polymorphism, evaluate the variety of genotyping platforms currently available, and discuss the management of pharmacogenomic information. Highlights include techniques for making a snapshot of the allele-specific variation in human gene expression, genome wide analysis of allele-specific expression using oligo microarrays, in vivo assays with HaploChIP, SNP genotyping in DNA pools, and PharmGKB, the pharmacogenetics and pharmacogenomics knowledge base. The methodologies for genotyping include denaturing high-performance liquid chromarography, pyrosequencing, kinetic-fluorescence detection, mass spectrometry, and TaqMan assay for insertion/deletions.
We acknowledge the initiation and support of this Research Topic by the International Union of Immunological Societies (IUIS). We hereby state publicly that the IUIS has had no editorial input in articles included in this Research Topic, thus ensuring that all aspects of this Research Topic are evaluated objectively, unbiased by any specific policy or opinion of the IUIS.
This book constitutes the refereed proceedings of the 11th International ICT Innovations Conference, ICT Innovations 2019, held in Ohrid, Macedonia, in October 2019. The 18 full papers presented were carefully reviewed and selected from 75 submissions. They cover the following topics: sensor applications and deployments, embedded and cyber-physical systems, robotics, network architectures, cloud computing, software infrastructure, software creation and management, models of computation, computational complexity and cryptography, design and analysis of algorithms, mathematical optimization, probability and statistics, data management systems, data mining, human computer interaction (HCI), artificial intelligence, machine learning, life and medical sciences, health care information systems, bioinformatics.
This book constitutes the proceedings of the 7th International Conference on Algorithms for Computational Biology, AlCoB 2020, was planned to be held in Missoula, MT, USA in April 2020. Due to the corona pandemic the conference was postponed to be held together with AlCoB 2021. The 15 full papers included in this volume were carefully reviewed and selected from 24 submissions. They were organized in topical sections on genomics, phylogenetics, and RNA-Seq and other biological processes.
Non-coding RNAs (ncRNAs), and in particular microRNAs are rapidly becoming the focus of research interest in numerous basic and translational fields, including brain research; and their importance for many aspects in brain functioning merits special discussion. The wide-scope, multi-targeted and highly efficient manner of ncRNA regulatory activities draws attention to this topic by many, but the available research and analysis tools and experimental protocols are still at their infancy, and calls for special discussion given their importance for many aspects in brain functioning. This eBook is correspondingly focused on the search for, identification and exploration of those non-coding RNAs ...
This book presents pattern-based problem-solving methods for a variety of machine learning and data analysis problems. The methods are all based on techniques that exploit the power of group differences. They make use of group differences represented using emerging patterns (aka contrast patterns), which are patterns that match significantly different numbers of instances in different data groups. A large number of applications outside of the computing discipline are also included. Emerging patterns (EPs) are useful in many ways. EPs can be used as features, as simple classifiers, as subpopulation signatures/characterizations, and as triggering conditions for alerts. EPs can be used in gene ...
We have all become familiar with the term ‘eHealth’, used to refer to health informatics and the digital aspects of healthcare; but what is dHealth? This book presents the proceedings of the 13th annual conference on Health Informatics Meets Digital Health (dHealth 2019), held in Vienna, Austria, on 28 – 29 May 2019. In keeping with its interdisciplinary mission, the conference series provides a platform for researchers, practitioners, decision makers and vendors to discuss innovative health informatics and eHealth solutions to improve the quality and efficiency of healthcare using digital technologies. The subtitle and special focus of dHealth 2019 is ‘from eHealth to dHealth’, wh...
Digital technologies have become an integral part of all our lives, and the area of healthcare is no exception. This book presents the proceedings of the 17th annual conference on Health Informatics meets Digital Health (dHealth 2023), held in Vienna, Austria, on 16 and 17 May 2023. The conference series provides a forum for researchers and decision makers, health professionals, healthcare providers, and government and industry representatives to present and discuss innovative digital-health solutions with the aim of improving the quality and efficiency of healthcare using digital technologies. The ‘d’ in dHealth encompasses concepts such as digitalization, datafication and data-driven d...
Top Investigators Explore the Complexities of Angiogenesis Cancer Research The targeting of tumor angiogenesis has evolved into one of the most widely pursued therapeutic strategies. However, as of yet, no antiangiogenic agent used as a monotherapy has demonstrated a survival benefit in a randomized Phase III trial. The combination of bev