为非平均水平患者设计临床试验
Thomas E Yankeelov1,2,3,4,5,6, David A Hormuth4,5, Ernesto A B F Lima4,7
1Department of Biomedical Engineering, The University of Texas at Austin, Austin, TX 78712, USA.
iScience
|January 3, 2024
概括
个性化临床试验可以通过使用数学模型和数字双胞胎来优化癌症治疗,以模拟个人患者的干预措施. 这种计算框架将治疗重新定义为个人试验,改善治疗结果.
科学领域:
- 计算生物学是一种计算生物学.
- 在瘤学瘤学.
- 数学建模的数学建模
背景情况:
- 癌症固有的异质性限制了标准临床试验的有效性,因为治疗只能使一小部分患者受益.
- 为个别癌症患者优化治疗干预需要个性化的方法.
研究的目的:
- 引入用于进行个性化临床试验的计算框架.
- 利用数学技术优化个体癌症治疗.
主要方法:
- 利用患者特定的数学模型进行准确的反应预测.
- 使用数字双胞胎来模拟干预效应.
- 将最佳控制理论应用于数字双胞胎以优化结果.
- 实施数据同化,以持续改进预测.
主要成果:
- 该框架整合了数学建模,数字双胞胎,最佳控制和数据同化.
- 讨论了每个技术的准备程度和个性化试验中的潜在用例.
结论:
- 这种计算框架为个性化癌症治疗提供了一条途径.
- 将治疗重新定义为个性化试验有望改善瘤学患者的治疗结果.
关键词:
卫生科学 卫生科学
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