Translational informatics : prevention and treatment of viral infections / Bairong Shen, editor.
Shen, Bairong, editor.
2022
R858
Available Online

Linked e-resources

Linked Resource
Online Access
Concurrent users
Unlimited
Authorized users
Authorized users
Document Delivery Supplied
Can lend chapters, not whole ebooks

Details

Title
Translational informatics : prevention and treatment of viral infections / Bairong Shen, editor.
ISBN
9789811689697 (electronic bk.)
9811689695 (electronic bk.)
9789811689680
9811689687
DOI
https://doi.org/10.1007/978-981-16-8969-7
Published
Singapore : Springer, [2022]
Copyright
©2022
Language
English
Description
1 online resource.
Item Number
10.1007/978-981-16-8969-7 doi
Call Number
R858
Dewey Decimal Classification
610.285
Summary
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.
Note
Includes index.
Access Note
Access limited to authorized users.
Source of Description
Description based on print version record.
Added Author
Shen, Bairong, editor.
Series
Advances in experimental medicine and biology ; v. 1368.
Available in Other Form
TRANSLATIONAL INFORMATICS.
Linked Resources
Online Access
Record Appears in
Online Resources > Ebooks
All Resources
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.-.

Browse Subjects

Show more subjects...

Statistics

from
to
Export