抗生素和人工智能的未来:从发现到床边的一些想法
Daniele Roberto Giacobbe1,2, Alessandra Agnese Grossi3,4, Matteo Bassetti5,6
1UO Clinica Malattie Infettive, IRCCS Ospedale Policlinico San Martino, Largo Rosanna Benzi, 10, 16132, Genoa, Italy. danieleroberto.giacobbe@unige.it.
Infectious diseases and therapy
|December 24, 2025
概括
人工智能 (AI) 可以推动抗生素的发现和处方. 整合这些人工智能应用程序有望提供精确的,针对患者的抗生素治疗,增强精准医学和抗菌药物管理.
科学领域:
- * 药理学与传染病学
- * 医学信息学和人工智能
背景情况:
- * 抗生素的发现和处方是进步的关键领域.
- *人工智能 (AI) 提供了改善这两个领域的巨大潜力.
- *目前在这两个领域的方法可以通过AI集成来增强.
研究的目的:
- * 探索人工智能支持的抗生素发现和人工智能辅助的抗生素处方之间的协同作用.
- *讨论整合这两个人工智能驱动领域的潜在影响.
- * 突出转变抗生素治疗的未来可能性.
主要方法:
- * 审查和讨论当前在抗生素发现中的AI应用.
- * 分析用于抗生素处方和临床决策支持的AI工具.
- * 整合发现和处方AI的概念框架.
主要成果:
- *人工智能可以加速新型和多样化的抗菌剂的发现.
- *人工智能辅助的处方可以实现高度精确的,与患者特定的治疗匹配.
- * 整合提供了增强的好处,克服了个人方法的局限性.
结论:
- *人工智能在抗生素发现和处方方面的融合为治疗提供了变革性的潜力.
- *人工智能支持的,针对患者的具体决策可以彻底改变抗菌药物管理和精准医学.
- *克服整合挑战是实现这些未来利益的关键.
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