人工智能如何帮助克服抗药性?
Ferdinand Ndikuryayo1, Xue-Yan Gong1, Ge-Fei Hao1
1State Key Laboratory of Green Pesticide, Center for R&D of Fine Chemicals of Guizhou University, Guiyang, Guizhou, China.
人工智能 (AI) 加快了药物发现,并打击了耐药性. 人工智能为药物耐药性 (DR) 和农药耐药性提供解决方案,但数据和道德挑战需要合作.
科学领域:
- 生物技术和制药科学 生物技术和制药科学
- 计算生物学和生物信息学
- 公共卫生和流行病学
背景情况:
- 药物耐药性 (DR) 和农药耐药性日益增加,威胁着公共健康.
- 创新策略对于开发有效药物和农药至关重要.
- 人工智能 (AI) 为应对这些挑战提供了一个有希望的方法.
研究的目的:
- 审查人工智能在打击耐药性 (DR) 中的多方面的作用.
- 探索AI在加速药物和农药发现中的应用.
- 确定AI在个性化医学和组合疗法中的潜力.
主要方法:
- 对人工智能在抗药性研究中的应用进行了全面的文献分析.
- 检查AI在药物发现管道中的作用.
- 审查人工智能对理解抵抗机制和个性化医学的贡献.
主要成果:
- 人工智能显著提高了药物发现,导致更安全的药物的开发速度更快.
- 人工智能有助于预测和理解药物和农药耐药性的机制.
- 人工智能驱动的精准医学提供个性化的治疗策略,并确定协同作用的药物组合.
结论:
- 人工智能是一个多功能工具,在耐药时代,它具有控制感染和癌症的巨大潜力.
- 解决数据可访问性和伦理考虑等挑战对于AI实施至关重要.
- 跨学科的合作对于推进人工智能驱动的药物和农药发现至关重要.
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