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Antimicrobial proteins are important components of the immune system. They aid the body in combating pathogens by either killing them directly or hindering their replication processes. Four main types of antimicrobial substances are interferons, the complement system, iron-binding proteins, and antimicrobial proteins.
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Interferons (IFNs) are proteins produced by lymphocytes, macrophages, and fibroblasts infected with viruses. While IFNs cannot prevent viruses from entering and...
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Essential infection prevention measures are based on the knowledge of the infection chain, the modes of transmission in healthcare settings, and the use of the best practices in all healthcare settings. Compulsory public reporting of healthcare-associated infection rates is needed to allow individuals and the community to make informed choices regarding selecting a healthcare facility.
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The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
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The human immune system is a complex network of cells, tissues, and organs that work together to defend the body against bacterial infections. It consists of various immune cells, each playing a specific role in the defense mechanism.
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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

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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.

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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.