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.

Focuses on the application of translational informatics for prevention of infectious disease The virus origin, detection and prevention of the virus, drug discovery and the vaccine from informatics aspects Big data and artificial intelligence for healthcare and 5G technology applied to prevention of epidemic diseases

Autorentext
Dr. Bairong Shen is professor and executive director general of the Institutes for Systems Genetics, West China Hospital, Sichuan University. He received his PhD in chemistry from Fudan University in 1997. Dr. Shen was appointed Associate Professor of Physical Chemistry at Fudan University in 1999 for his accomplishments in theoretical and computational surface chemistry. In the early 2000s, Dr. Shen started his new exploration into biomedical informatics and related computational biology in his postdoctoral research at the University of Tampere, Finland. His success in the new paradigm of biological research won him a competitive faculty position in the European university as an Assistant/Associate Professor of Bioinformatics since 2004. He joined the Soochow University by founding the University's Center for Systems Biology in 2008. In Finland and China, Dr. Shen has taught more than 10 different courses in biomedical informatics and systems biology and published more than 100 peer-reviewed articles in competitive journals which covered the medical genetic areas including cancer biomarker discovery, biomedical informatics and the basic exploration in physics, chemistry, biology, and computational science. His recent researches focus on biomedical informatics and systems biology of complex diseases and healthcare.

Inhalt

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.-