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Artificial Intelligence in Managing Antimicrobial Resistance.
・ISBN 978-1-032-81245-8 hard GB£ 145.99
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| 著者・編者 | Pandey, Ramendra Pati / Chang, Chung-Ming / Raj, V. Samuel (eds.), |
|---|---|
| 出版社 | (CRC Press, UK) |
| 出版年月 | 2025 |
| ページ数 | 160 pp. |
| 言語 | ENG |
| ニュース番号 | ＜A04-5479＞ |
解説
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.