呼吸道感染:关于细菌多样性的复杂性,治疗干预和突破的最新情况
Avani Panickar1,2, Anand Manoharan3, Anand Anbarasu1,4
1Medical and Biological Computing Laboratory, School of Biosciences and Technology, Vellore Institute of Technology (VIT), Vellore, Tamil Nadu, 632014, India.
Archives of microbiology
|August 17, 2024
概括
呼吸道感染 (RTIs) 是一个全球性的健康问题,由耐药细菌驱动. 本综述探讨了毒性,新疗法和AI/ML,以打击RTIs中的抗菌素耐药性.
科学领域:
- 医学微生物学 医学微生物学
- 传染性疾病 传染性疾病
- 计算生物学 计算生物学
背景情况:
- 呼吸道感染 (RTIs) 构成了全球严重的健康负担,特别是在儿童和老年人等弱势群体.
- 关键的细菌病原体,包括肺炎菌株,流感菌株,肺炎菌株,黄金菌株,青杆菌, Pseudomonas aeruginosa 是RTIs的主要原因.
- 由于通过横向基因转移和环境适应的细菌进化,抗菌素耐药性 (AMR) 正在升级,导致治疗失败.
研究的目的:
- 审查RTIs中的细菌毒性机制和病原性.
- 突出治疗干预措施,以打击呼吸道病原体中的抗菌素耐药性.
- 探索人工智能 (AI) 和机器学习 (ML) 在管理RTIs和解决AMR危机中的应用.
主要方法:
- 文献综述侧重于RTI中的细菌毒性因素和病原性.
- 对抗耐药性呼吸道病原体的当前和新兴治疗策略的分析.
- 探索用于管理RTIs和打击AMR的AI和ML应用.
主要成果:
- 确定了多种致病机制,有助于RTI的致病性.
- 突出了各种治疗干预措施及其克服抗菌素耐药性的潜力.
- 强调AI和ML在加强RTIs管理和解决AMR方面的作用.
结论:
- 结合对病毒性和新疗法的机制性见解的综合性方法是必不可少的.
- 利用AI和ML为管理RTIs和缓解AMR危机提供了有希望的途径.
- 在呼吸道感染中解决AMR需要一个包含科学理解和技术创新的多方面的战略.
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