针对PRECISE CURATE.AI可行性试验中固体瘤患者的个性化剂量选择平台
Agata Blasiak1,2,3,4, Anh T L Truong5,6,7, Nigel Foo5,6,7
1The Institute for Digital Medicine (WisDM), National University of Singapore, Singapore, Singapore. agatablasiak@gmail.com.
NPJ precision oncology
|February 21, 2025
概括
这项研究表明,人工智能平台CURATE.AI可以为个别癌症患者个性化化疗剂量. 这种人工智能方法在临床环境中证明了可行性和适应性.
科学领域:
- 在瘤学瘤学.
- 人工智能在医学中的应用
- 个性化医疗是个性化的医疗.
背景情况:
- 常规化疗剂量 (最大耐受剂量) 可能对个体癌症患者来说不是最佳的.
- 在瘤学中需要个性化治疗策略.
- CURATE.AI提供了一个新的AI衍生平台,用于动态剂量建议.
研究的目的:
- 评估使用人工智能平台 (CURATE.AI) 进行动态个性化化疗剂量建议的可行性.
- 评估平台在现实世界临床场景中的适应性,用于先进的固体瘤.
- 为了确定用户对人工智能系统的坚持和医生参与.
主要方法:
- 可行性试验涉及使用capecitabine,XELOX或XELIRI治疗的晚期固体瘤患者.
- 利用CURATE.AI,一个AI平台,根据个人患者数据生成个性化剂量建议.
- 评估了后勤和科学可行性,用户遵守和医生参与.
主要成果:
- CURATE.AI表现出适应临床相关情况的能力,包括息治疗.
- 观察到用户坚持使用的高率.
- 医生参与数据选择和边界设置被认为是有助于这一因素.
结论:
- 动态个性化,AI衍生化疗剂量建议使用CURATE.AI是可行的高级固体瘤.
- 该平台在优化瘤治疗方面表现有前途.
- 高坚持表明潜在的临床实用性和医生接受.
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