使用基于受约束乱原理的系统来提高生物系统中数字双胞胎的性能
1Department of Medicine, Hadassah Medical Center, Faculty of Medicine, Hebrew University, Jerusalem P.O. Box 12000, Israel.
Biomimetics (Basel, Switzerland)
|August 25, 2023
概括
数字双胞胎可以通过拥抱固有的变异性来增强生物应用,而不仅仅是减少噪音. 这种方法通过考虑系统复杂性,提高了医疗数字双胞胎的准确性.
科学领域:
- 生物工程是生物工程.
- 计算建模计算建模
- 系统生物学 系统生物学
背景情况:
- 数字双胞胎模拟真实世界的过程,使用计算机程序和真实世界的数据.
- 人工智能和降噪模型提高了数字双胞胎的准确性.
- 生物系统具有对功能至关重要的固有变性,挑战了传统的降噪方法.
研究的目的:
- 审查噪声在复杂系统中的作用及其在生物工程中的应用.
- 描述数字双胞胎在医疗应用中的使用以及当前对噪声和不确定性的建模技术.
- 介绍在生物环境中提高数字双胞胎准确性和有效性的方法.
主要方法:
- 审查有关数字双胞胎,噪音和复杂系统中的不确定性的现有文献.
- 分析数字双胞胎在医学和生物工程领域的应用.
- 提出了在数字双胞胎模型中管理噪声的同时整合可变性签名的方法.
主要成果:
- 当前的数字双胞胎系统往往专注于降低噪音,这对生物系统来说可能是不利的.
- 生物系统在动态边界内运行,变化是必要的组成部分 (受约束-障碍原理).
- 改进的数字双胞胎准确性需要在降噪的同时不断实施可变性签名.
结论:
- 考虑到生物系统的固有噪音和变异性,对于开发准确的医疗数字双胞胎至关重要.
- 未来的数字双胞胎设计必须拥抱生物系统的复杂性,整合变化和噪声管理.
- 这种方法将导致在医疗保健和生物工程领域更有效,更精确的数字双胞胎应用.
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