实验设计和系统疏忽对个性化过程的影响:心血管视角
Harry Saxton1,2, Daniel J Taylor2,3,4, Grace Faulkner2,3,4
1School of Computer Science, University of Sheffield, Sheffield, United Kingdom.
PloS one
|June 24, 2025
概括
了解心血管模型输入参数不确定性是个性化医学数字双胞胎的关键. 连续的临床测量增加了模型的疏忽性和生物标志物,与离散的测量不同.
科学领域:
- 心血管模型的建模.
- 个性化医疗是个性化的医疗.
- 计算生物学是一种计算生物学.
背景情况:
- 个性化医疗需要准确的心血管数字双胞胎.
- 了解输入参数的不确定性对于模型可靠性至关重要.
- 模型的粗性,只有少数参数对结果产生重大影响,是关键的挑战.
研究的目的:
- 为了量化心血管系统的疏忽.
- 为了阐明输入参数空间的结构.
- 研究实验设计如何影响个性化和疏忽.
主要方法:
- 心血管系统疏忽的量化.
- 使用Sobol指数进行参数灵敏度分析.
- 检查各种侵入性的合成心血管措施.
主要成果:
- 持续的临床测量会导致系统的疏忽,并增加可个性化的生物标志物.
- 离散的临床测量结果是一个不粗的系统,生物标志物较少.
- 实验设计的选择显著影响心血管模型个性化.
结论:
- 心血管模型个性化高度依赖于选择的实验设计和数据采集方法.
- 连续的数据增强了模型的疏忽性和数字双胞胎的生物标志物识别.
- 仔细考虑临床数据对于有效的个性化心血管医学至关重要.
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