Translational Informatics : Prevention and Treatment of Viral Infections
Translational Informatics : Prevention and Treatment of Viral Infections
edited by Bairong Shen
- 1st edition 2022
- 1 recurso en línea (VII, 218 páginas)
- Advances in Experimental Medicine and Biology 1368 2214-8019 .
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.
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.
9789811689697
10.1007/978-981-16-8969-7 doi
Informática médica
R858 / 2022 EB
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.
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.
9789811689697
10.1007/978-981-16-8969-7 doi
Informática médica
R858 / 2022 EB