Using chronobiology-based second-generation artificial intelligence digital system for overcoming antimicrobial drug resistance in chronic infections
AbstractAntimicrobial resistance results from the widespread use of antimicrobial agents and is a significant obstacle to the effectiveness of these agents. Numerous methods are used to overcome this problem with moderate success. Besides efforts of antimicrobial stewards, several artificial intelli...
| Những tác giả chính: | , , , , |
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| Định dạng: | Bài viết |
| Ngôn ngữ: | English |
| Được phát hành: |
Taylor & Francis Group
2023-12-01
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| Loạt: | Annals of Medicine |
| Những chủ đề: | |
| Truy cập trực tuyến: | https://www.tandfonline.com/doi/10.1080/07853890.2022.2163053 |