人工智能如何帮助我们战胜AMR
Autumn Arnold1,2,3, Stewart McLellan1,2,3, Jonathan M Stokes4,5,6
1Department of Biochemistry and Biomedical Sciences, McMaster University, Hamilton, ON, Canada.
人工智能 (AI) 为抗菌素耐药性 (AMR) 提供了解决方案. 本综述涵盖了AI在诊断细菌感染,跟踪AMR和发现新抗生素方面的应用,强调了当前的方法和局限性.
科学领域:
- 微生物学 微生物学
- 传染性疾病 传染性疾病
- 计算生物学 计算生物学
背景情况:
- 抗菌素耐药性 (AMR) 构成了全球重大健康挑战.
- 人工智能 (AI) 和计算能力的快速进步使生物研究的新方法成为可能.
研究的目的:
- 审查人工智能在治疗细菌感染中的当前应用.
- 探索AI在诊断,AMR监测和抗生素发现方面的作用.
- 确定AI在这些领域实施的关键考虑因素和局限性.
主要方法:
- 对当代人工智能模型的文献综述.
- 在诊断,监视和药物发现方面分析AI应用.
- 讨论实际考虑和现有挑战.
主要成果:
- 人工智能模型越来越多地用于细菌感染诊断.
- 人工智能有助于加强对抗菌素耐药性模式的监测.
- 人工智能有助于新型抗生素的发现管道.
结论:
- 人工智能为打击抗菌素耐药性提供了一个强大的工具包.
- 需要进一步的研究和开发,以克服当前AI应用的局限性.
- 人工智能的战略实施可以显著影响与传染病有关的公共卫生结果.
更多相关视频
06:54Author Spotlight: Understanding and Detecting Environmental Antimicrobial Resistance by Combining Culture-Based Techniques and Genomics
Published on: July 19, 2024
08:58Isolation and Identification of Waterborne Antibiotic-Resistant Bacteria and Molecular Characterization of their Antibiotic Resistance Genes
Published on: March 3, 2023
相关概念视频
Antibiotic Selection
Antimicrobial Proteins
Interferons
Interferons (IFNs) are proteins produced by lymphocytes, macrophages, and fibroblasts infected with viruses. While IFNs cannot prevent viruses from entering and...
Healthcare Associated Infections II: Preventive Measures
The best practices for preventing healthcare-associated infections include hand hygiene, patient risk...
Issues And Trends In Healthcare Delivery System
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
Combined Effects of Drugs: Synergism
Such synergistic combinations...
Defense Against Bacterial Pathogens
Phagocytes
Phagocytes are the frontline soldiers of the immune system. They include neutrophils and macrophages. Neutrophils are the most abundant type of white blood cell and are quickly mobilized to the site of infection. Macrophages are larger cells that patrol...
