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Prevalence, Transmission and Control of Clinically Important Antimicrobial-Resistant Bacteria/Genes within One Health Framework
Antimicrobial resistance (AMR) has emerged as a major public health issue, attracting increased attention from governments and researchers. The spread and transmission of antimicrobial resistant bacteria/genes is not only a clinical problem, but also poses unprecedented challenges in the animal husbandry industry and is closely linked to the environment. The clinically important antimicrobial resistant bacteria and their AMR genes, such as carbapenemase-producing Gram-negative Bacilli with blaNDM, blaKPC, blaIMP, blaVIM genes, colistin-resistant Gram-negative bacteria with mcr genes, methicillin-resistant Staph...
Immunoregulatory Mechanisms of Interferon
Interferons (IFN) belong to the family of cytokines and have been described first in the late 1950s as an inhibitory factor of viral replication. Since then, the impact of interferon has been greatly expanded and its function comprises a role not only in different types of infection, cancer and autoimmunity but importantly also in immunehomeostasis. IFN have important anti-viral effects but it is becoming more and more evident that they are true immunomodulators and have an important impact on the development and maintenance of innate and adaptive immunity.
GPU Pro
This book covers essential tools and techniques for programming the graphics processing unit. Brought to you by Wolfgang Engel and the same team of editors who made the ShaderX series a success, this volume covers advanced rendering techniques, engine design, GPGPU techniques, related mathematical techniques, and game postmortems. A special emphasi
Microbiome Engineering
This reference book compiles the latest techniques and applications of microbiome engineering. Microbial communities interact dynamically with their hosts, creating a considerable impact on the host and their ecosystem. This book introduces readers to microbiomes and microbiome engineering. It covers topics like omics tools in microbial research, strategies to engineer human microbiomes, the application of synthetic biology to build smart microbes, and the future of microbiome engineering. It includes the application of microbiome engineering in improving human health, livestock, and agricultural productivity. The book is intended for researchers and students in the fields of microbiology and biotechnology.
Application and Integration of Omics-powered Diagnostics in Clinical and Public Health Microbiology
Various “omics” methods have recently revolutionized molecular diagnostics. Next-generation sequencing (NGS) makes it possible to sequence a human genome in just one day. Whole genome sequencing (WGS) greatly improves the ability to investigate the outbreaks of numerous pathogens. Metagenomics helps to analyze the microbiome, which aids greatly in identifying the pathogenesis of infectious diseases. Proteomic-based methods, namely matrix-assisted laser desorption-ionization time of flight mass spectrometry (MALDI-TOF-MS), have a promising role in identifying myctobacteria and fungi, and predicting antimicrobial resistance. While there are numerous scientific publications on “omics” a...
Detection and Analysis of Microorganisms by Mass Spectrometry
In the human body, there are millions of living microorganisms involved in protecting the body from invaders, helping digestion and regulating moods, but there are also harmful pathogens that cause infectious diseases. For instance, the coronavirus (COVID-19) has caused considerable loss of life since its outbreak. Comprehensive analysis and characterization of microbes is of significant importance to understand the function and role of microorganisms, and rapid detection and identification of unknown pathogens are essential in early diagnosis, treatment monitoring and personalized medicine. Mass spectrometry is a technique to ionize molecules and detect the mass-to-charge ratio of the gener...
Machine Learning and Deep Learning in Medical Data Analytics and Healthcare Applications
Machine Learning and Deep Learning in Medical Data Analytics and Healthcare Applications introduces and explores a variety of schemes designed to empower, enhance, and represent multi-institutional and multi-disciplinary machine learning (ML) and deep learning (DL) research in healthcare paradigms. Serving as a unique compendium of existing and emerging ML/DL paradigms for the healthcare sector, this book demonstrates the depth, breadth, complexity, and diversity of this multi-disciplinary area. It provides a comprehensive overview of ML/DL algorithms and explores the related use cases in enterprises such as computer-aided medical diagnostics, drug discovery and development, medical imaging,...
