Microbiology is the study of life itself, down to the smallest particle. Microbiology is a fascinating field that explores life down to the tiniest level. Did you know that your body contains more bacteria cells than human cells? It's true. Microbes are essential to our everyday lives, from the food we eat to the very internal systems that keep us alive. These microbes include bacteria, algae, fungi, viruses, and nematodes. Without microbes, life on Earth would not survive. It's amazing to think that all life is so dependent on these microscopic creatures, but their impact on our future is even more astonishing. Microbes are the tools that allow us to engineer hardier crops, create better medicines, and fuel our technology in sustainable ways. Microbes may just help us save the world. Microbiology For Dummies is your guide to understanding the fundamentals of this enormously-encompassing field. Whether your career plans include microbiology or another science or health specialty, you need to understand life at the cellular level before you can understand anything on the macro scale. *Explore the difference between prokaryotic and eukaryotic cells. *Understand the basics of cell function and metabolism. *Discover the differences between pathogenic and symbiotic relationships. *Study the mechanisms that keep different organisms active and alive. You need to know how cells work, how they get nutrients, and how they die. You need to know the effects different microbes have on different systems, and how certain microbes are integral to ecosystem health. Microbes are literally the foundation of all life, and they are everywhere. Microbiology For Dummies will help you understand them, appreciate them, and use them

This fully revised Fourth Edition to a best-selling resource provides the reader with a hands-on guide to computational biology, primarily in the area of sequence analysis. The subject matter will cover a broad spectrum of concepts in bioinformatics, beginning with an overview of biological databases and ending with a series of chapters on predictive and comparative algorithms. Using relevant biological examples, the book will provide background on and strategies for using many of the most powerful and commonly-used algorithms for sequence-based discovery. Given the explosion in the number of organisms whose genomes have been sequenced over the last several years, the emergence of new types of data sets (particularly those derived using next-generation sequencing technologies), and increasing emphasis on being able to make effective use of "big data", the book is both timely and important to investigators in molecular biology and related fields. With a full-color, enlarged page design, this edition offers the most readable, up-to-date, and thorough introduction to the field for biologists. The new "Foundations" section insures that readers have a firm understanding of the technologies that generate the data, as well as the essential statistical and programming tools. Features include special boxes, enhanced use of real examples, and problem sets with answers provided on the book's dedicated website (www.wiley.com/bioinformatics). A glossary and appendix of sample file formats rounds out the book's reader-friendly, 'hands-on' treatment

This book comprehensively reviews the potential of Artificial Intelligence (AI) in biomedical research and healthcare, with a major emphasis on virology. The initial chapter presents the applications of machine learning methods for structured data, such as the classical support vector machine and neural network, modern deep learning, and natural language processing for unstructured data in biomedical research and healthcare. The subsequent chapters explore the applications of AI in tackling COVID-19, analysis of the pandemic, viral infection, disease spread, and control. The book further identifies the potential applications of machine learning in the field of virology with a focus on the key aspects of infection: diagnosis, transmission, response to treatment, and resistance. The book also discusses progress and challenges in developing viral vaccines and examines the application of viruses in translational research and human healthcare. Furthermore, the book covers the applications of artificial intelligence-mediated diagnosis and the development of drugs to treat the disease. Towards the end, the book summarizes the ethical and legal challenges posed by AI in healthcare and biomedical research. This book is an invaluable source for researchers, medical and industry practitioners, academicians, and students exploring the applications of AI in biomedical research and healthcare

Nutrition and exercise are the cornerstones of our health. But why actually? What exactly do weight training and endurance sports do? And how do certain foods influence our metabolism? How does sore muscles actually develop? The author, a chemist and doctor, explains in an understandable way how the body works and the influence of nutrition and exercise on our health. At the same time, he scientifically presents the correlations based on current studies, including intervention and long-term studies. He clearly describes the interactions of nutrition and exercise on body weight, metabolism, fatty tissue and hormones, the cardiovascular system, bone structure and the immune system. Each topic is clearly described on one page. A non-fiction book for all those who are interested in doing something for their health and want to know why. Plus: glossary to look up medical terms and extensive literature references around studies on nutrition, exercise and health. The author Dietger Mathias, studied chemistry and medicine in Berlin and Heidelberg, doctorate in both subjects, habilitation in medicine, one-year research stay at New York University with Severo Ochoa. Two years as a research assistant at the Hannover Medical School and 18 years at the University Hospital in Heidelberg. There also further training as a specialist in laboratory medicine/transfusion medicine. From 1992 to 2012, practising physician in Geesthacht and Berlin. Author of numerous non-fiction and specialist books on the subject of nutrition and exercise.

This volume is the first to present a framework of general principles for animal research ethics together with an analysis of the principles' meaning and moral requirements. This new framework of six moral principles constitutes a more suitable set of moral guidelines than any currently available, including the influential framework presented in the Principles of Humane Experimental Technique published in 1959 by zoologist and psychologist William M.S.0Russell and microbiologist Rex L. Burch. While other accounts have presented specific directives to guide the use of animals in research, Tom L. Beauchamp and David DeGrazia here offer a set of general moral principles that are adequate to the task of evaluating biomedical and behavioral research involving animals today. Their comprehensive framework addresses ethical requirements pertaining to societal benefit-a critical consideration in justifying the harming of animals in research-and features a thorough program of animal welfare protection. In doing so, their principles bridge the gap between the concerns of the research community and the animal-protection community.0The book is distinctive in featuring commentaries on the framework of principles by eminent figures in animal research ethics from an array of relevant disciplines: veterinary medicine, biomedical research, biology, zoology, comparative psychology, primatology, law, and bioethics. The seven commentators-Larry Carbone, Frans de Waal, Rebecca Dresser, Joseph Garner, Brian Hare, Margaret Landi, and Julian Savulescu-scrutinize Beauchamp and DeGrazia's principles in terms of both their theoretical cogency and practical implications, evaluating their relevance to the medical and scientific professions