Translational Informatics: Prevention and Treatment of Viral Infections

This book provides an overview of translational informatics applied to virus infection, including tracking of origin, detection, prevention, drug discovery, vaccine design, and smart city-level monitoring and controlling. It covers data mining, modelling, immunological mechanisms, personalized prediction, and treatment, as well as artificial intelligence for prevention of virus outbreaks.

Format: Hardback
Length: 218 pages
Publication date: 21 May 2022
Publisher: Springer Verlag, Singapore

This comprehensive book delves into the realm of translational informatics, applying its principles to various aspects of virus infection. It encompasses a wide range of topics, including the tracing of virus origins, the detection and prevention of infection, the discovery of drugs, the development of vaccines, as well as the intelligent monitoring and control of virus epidemics at the city level by government authorities. Furthermore, it explores the informatics necessary for data mining, modeling, and analysis at molecular, tissue/organ, individual, and population levels. Additionally, the book summarizes the informatics related to immunological mechanisms and personalized prediction and treatment of infected patients. It also provides insights into the potential applications of artificial intelligence in preventing virus outbreaks. This invaluable resource is particularly useful for readers interested in the fields of virus infection prevention, biomedical informatics, and artificial intelligence in medicine and healthcare.

Weight: 512g
Dimension: 235 x 155 (mm)
ISBN-13: 9789811689680
Edition number: 1st ed. 2022