ADAPT学习癌症治疗系统:ARPA-H的倡议,旨在彻底改变癌症治疗的方法
Andrea H Bild1, Michelle C Sangar2, Jasmine A McQuerry2
1Advanced Research Projects Agency for Health (ARPA-H), U.S. Department of Health and Human Services, Washington, DC, USA; Department of Medical Oncology & Therapeutics Research, City of Hope National Medical Center, Duarte, CA, USA.
Cancer cell
|January 9, 2026
概括
ADAPT通过使用人工智能实时跟踪瘤演变来改变癌症护理. 这个倡议将患者数据链接起来,以指导个性化治疗,改善精确瘤学的结果.
科学领域:
- 在瘤学瘤学.
- 基因组学就是基因组学.
- 人工智能的人工智能
背景情况:
- 癌症治疗往往落后于瘤的快速演变.
- 个性化瘤学需要实时适应抗性.
研究的目的:
- 推出ADAPT,这是一个国家实时癌症护理转型倡议.
- 利用多式联络数据和人工智能来预测和应对瘤演变.
主要方法:
- 整合多式联络患者数据.
- 使用可解释的人工智能 (AI).
- 采用进化临床试验平台进行适应性治疗.
主要成果:
- 通过ADAPT,可以实时检测瘤的进化和抗药性.
- 预测新出现的抗性特征,以指导治疗调整.
- 促进全国患者网络的持续学习.
结论:
- ADAPT为响应性癌症治疗提供了一个可扩展的模型.
- 直接将科学发现与临床实践联系起来,以提高精确的瘤学结果.
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