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  • Translational Informatics: Prevention and Treatment of Viral Infections

    Translational Informatics by Shen, Bairong;

    Prevention and Treatment of Viral Infections

    Series: Advances in Experimental Medicine and Biology; 1368;

      • GET 20% OFF

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      • Publisher's listprice EUR 139.09
      • The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.

        57 687 Ft (54 940 Ft + 5% VAT)
      • Discount 20% (cc. 11 537 Ft off)
      • Discounted price 46 150 Ft (43 952 Ft + 5% VAT)

    57 687 Ft

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    Product details:

    • Edition number 1st ed. 2022
    • Publisher Springer Nature Singapore
    • Date of Publication 21 May 2022
    • Number of Volumes 1 pieces, Book

    • ISBN 9789811689680
    • Binding Hardback
    • No. of pages218 pages
    • Size 235x155 mm
    • Weight 512 g
    • Language English
    • Illustrations VII, 218 p. 1 illus. Illustrations, black & white
    • 255

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    Long description:

    This book introduces the translational informatics applied to most aspects of virus infection, including tracking of virus origin, detection and prevention of infection, drug discovery, and vaccine design as well as smart city-level monitoring and controlling of the virus epidemic by government. It covers the informatics for data mining and modelling at molecular, tissue/organ, individual, and population levels. The informatics for immunological mechanisms and the personalized prediction and treatment of infected patients are also summarized. The perspectives on the application of artificial intelligence to the prevention of virus outbreaks are also given. This book will be helpful to readers who are interested in prevention of virus infection, biomedical informatics, and artificial intelligence in medicine and healthcare.

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    Table of Contents:

    Chapter 1. Databases, Knowledgebases and Software Tools for Virus Informatics.- Chapter 2. Detection and Prevention of Virus Infection.- Chapter 3. Bioinformatics for the Origin and Evolution of Viruses.- Chapter 4. In silico Drug Discovery for Treatment of Virus Diseases.- Chapter 5. Vaccines and Immunoinformatics for Vaccine Design.- Chapter 6. Predicting the Disease Severity of Virus Infection.- Chapter 7. Modeling the Virus Infection at the Population Level.- Chapter 8. Health-Based Geographic Information Systems for Mapping and Risk Modeling of Infectious Diseases and COVID-19 to Support Spatial Decision-Making.- Chapter 9. 5G, Big data and AI for Smart City and Prevention of Virus Infection.-

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