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books
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Artificial Intelligence in Managing Antimicrobial Resistance
Edited by Ramendra Pati Pandey, Edited by Chung-Ming Chang, Edited by V. Samuel Raj
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| book 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.
| product details |
Normally shipped |
Publisher | Taylor & Francis Ltd
Published date | 30 May 2025
Language |
Format | Digital (delivered electronically)
Pages | 170
Dimensions | 0 x 0 x 0mm (L x W x H)
Weight | 0g
ISBN | 978-1-0404-1166-7
Readership Age |
BISAC | medical / microbiology
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Mason Coile
Paperback / softback
224 pages
was: R 520.95
now: R 468.95
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A terrifying locked-room mystery set in a remote outpost on Mars.
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An epic love story with the pulse of a thriller that asks: what would you risk for a second chance at first love?
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