Artificial Intelligence in Managing Antimicrobial Resistance
-
GET 10% OFF
- Publisher's listprice GBP 24.99
-
11 282 Ft (10 745 Ft + 5% VAT)
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.
- Discount 10% (cc. 1 128 Ft off)
- Discounted price 10 154 Ft (9 671 Ft + 5% VAT)
10 154 Ft
Availability
Not yet published.
Why don't you give exact delivery time?
Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.
Product details:
- Edition number 1
- Publisher CRC Press
- Date of Publication 27 August 2026
- ISBN 9781032821122
- Binding Paperback
- No. of pages160 pages
- Size 216x138 mm
- Weight 453 g
- Language English
- Illustrations 46 Illustrations, black & white 700
Categories
Short description:
The book is intended for academia, student of medical science, microbiology, biology, biotechnology. Furthermore, infectious diseases experts, scientists working in the field of infectious diseases, government health organizations, and medical.
MoreLong description:
This volume reviews the use of machine learning (ML) to predict antibiotic resistance in pathogens based on gene content and genome composition as data sets comprising hundreds or thousands of pathogen genomes become available. One of the main goals of this work is to promote the use of ML in front-line contexts while simultaneously emphasizing the additional improvements that are required to use these techniques in a secure and confident manner. Given the variety of quantitative and qualitative laboratory indicators of AMR, the issue of what to anticipate is not an easy one.
This book is intended for academia, students of medical science, microbiology, biology, and biotechnology, as well as experts and scientists working in the fields of infectious diseases, government health organizations, and medicine.
MoreTable of Contents:
Preface. Role of Artificial Intelligence in Fighting Antimicrobial Resistance. Artificial Intelligence in Disease Surveillance and Monitoring Resistance Microbes. Artificial Intelligence in Antibiotic Discovery and Development. Artificial Intelligence for Precision Medicine in Antimicrobial Resistance. Artificial Intelligence-driven Diagnostics for Antimicrobial Resistance. Artificial Intelligence-Enabled Antimicrobial Stewardship Programs. Big Data Analytics and Antimicrobial Resistance. Artificial Intelligence in Veterinary Medicine and Antimicrobial Resistance. Ethical and Regulatory Considerations for Artificial Intelligence in Managing AMR. Index.
More
