癌症药物开发和管理中的人工智能:精准医学视角
Caixia Fang1,2, Pengfa Zhou2, Xuerong Zhang1
1Pharmacy Clinical Research Centre, Qingyang People's Hospital, Qingyang, China.
Frontiers in oncology
|December 22, 2025
概括
人工智能 (AI) 正在通过增强目标发现,临床试验和个性化治疗来彻底改变瘤药物管理. 在癌症治疗中人工智能的数据集成,解释性和监管治理方面仍然存在挑战.
科学领域:
- 瘤学 药理学 药理学
- 人工智能在医学中的应用
- 药物开发和管理 药物开发和管理
背景情况:
- 由于高成本,长时间和患者的变化,瘤学药物管理是复杂的.
- 人工智能 (AI) 在整个癌症药物生命周期中提供了变革性的解决方案.
- 人工智能应用包括目标发现,临床试验,个性化治疗和市场后监测.
研究的目的:
- 审查目前在瘤药物管理中的AI应用.
- 突出人工智能驱动的癌症治疗方法的机会和障碍.
- 探索人工智能在精密医学和瘤学的未来方向.
主要方法:
- 在瘤学药物生命周期中对AI应用的综合文献综述.
- 分析AI在目标识别,药物查和临床试验优化中的作用.
- 在个性化治疗,毒性管理和药物监督中对AI的评估.
主要成果:
- 人工智能加速药物发现,通过患者分层提高临床试验效率,并使个性化治疗决策成为可能.
- 人工智能改进了使用真实数据的实时毒性监测和市场后药物评估.
- 关键的挑战包括数据集成,模型解释性,临床翻译,公平性和监管治理.
结论:
- 人工智能为优化瘤药物管理和推进精准医学提供了重大机会.
- 解决数据,可解释性和监管方面的挑战对于成功的临床翻译至关重要.
- 未来的优先事项包括前性评估,公平审计,以及在瘤学中对AI的持续算法警.
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