抗微生物药物耐药性危机:人工智能可能是解决方案吗?
Guang-Yu Liu1, Dan Yu2, Mei-Mei Fan1
1Department of Immunology and Pathogen Biology, School of Basic Medical Sciences, Hangzhou Normal University, Key Laboratory of Aging and Cancer Biology of Zhejiang Province, Key Laboratory of Inflammation and Immunoregulation of Hangzhou, Hangzhou Normal University, Hangzhou, 311121, China.
迫切需要新的抗生素来对抗抗菌素耐药性. 人工智能 (AI) 正在加速新抗菌药物的发现和开发,为这个全球健康危机提供了一个有希望的解决方案.
科学领域:
- 传染性疾病 传染性疾病
- 药理学 药理学是指药理学的学科.
- 计算生物学 计算生物学
背景情况:
- 抗菌素耐药性 (AMR) 构成了全球健康的重大威胁.
- 新型抗生素的开发是缓慢的,昂贵的,自2014年以来,已经产生了有限的新药.
- 世界卫生组织 (WHO) 已经确定了优先病原体,需要紧急开发新的抗菌剂.
研究的目的:
- 审查最近批准的新型抗生素和正在临床开发中的新型抗生素.
- 系统地检查人工智能 (AI) 在抗菌药物发现和开发中的应用.
- 突出AI在各种治疗模式和支持应用中对抗AMR的作用.
主要方法:
- 在市场上销售的新型抗生素和临床候选药物的文献综述.
- 在抗菌研究和开发中对人工智能应用的系统审查.
- 对人工智能对小分子,抗菌,菌体疗法,精油,耐药性预测和抗生素管理的影响的分析.
主要成果:
- 有限数量的新型抗生素已经获得批准,这凸显了对新治疗方法的需求.
- 人工智能已经证明了提高新型抗生素发现效率的巨大潜力.
- 人工智能正在被用于各种抗菌策略和关键领域,如耐药机制预测.
结论:
- 新型抗生素对于应对抗菌素耐药性日益增长的威胁至关重要.
- 人工智能是加速发现和开发新抗菌剂的转型工具.
- 在抗菌药物开发的各个方面整合人工智能,为打击抗菌耐药性提供了一条有前途的前进道路.
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