用表型药物进行放射治疗:朝着N-of-1个性化方向
Li Ming Chong1,2,3, Peter Wang1,2,3, V Vien Lee2
1Department of Biomedical Engineering, College of Design and Engineering, National University of Singapore, Singapore, 117583, Singapore.
British journal of cancer
|March 22, 2024
概括
现型医学 (PM) 平台提供了一种新的方法,可以为个别患者个性化放射治疗 (RT) 剂量. 这种由人工智能驱动的策略使用小型数据集来指导实时治疗调整,优化结果并避免治疗不足或过度治疗.
科学领域:
- 在瘤学瘤学.
- 辐射疗法 辐射疗法
- 人工智能的人工智能
- 个性化医疗是个性化的医疗.
背景情况:
- 目前的放射治疗 (RT) 使用标准剂量方案,往往无法考虑到个体患者和瘤的变化.
- 对治疗反应的评估迟到,限制了及时的干预.
- 现有的个性化策略可能无法完全解决患者的异质性.
研究的目的:
- 探索人工智能 (AI) 驱动的表型医学 (PM) 对N-of-1放射治疗 (RT) 个性化的潜力.
- 讨论PM的实施,以实时RT剂量适应.
- 介绍将PM纳入临床实践的考虑因素和局限性.
主要方法:
- 使用人工智能衍生,机制独立的表型医学 (PM) 平台.
- 采用前性收集的小患者数据集作为治疗指导.
- 基于实时患者反应的指导RT剂量选择和适应.
主要成果:
- 通过根据个体反应指导剂量调整,PM可实现N-of-1 RT个性化.
- 这种方法可能可以防止良好的响应者过度治疗和不良响应者治疗不足.
- PM可以作为独立的策略或与其他疗法结合使用.
结论:
- 表型医学 (PM) 为个性化放射治疗 (RT) 提供了一个有希望的替代方案.
- 实时响应引导的RT剂量调整可以提高治疗疗效.
- PM平台有潜力指导RT单疗法和组合治疗.
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