数字孪生实现个性化营养

Yu Wang, C. Lu, Wei Chen, Qi Wang, Hua Jiang
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引用次数: 1

摘要

精准医学的概念为个性化营养诊断和治疗铺平了道路。本文从目前临床营养诊断和治疗的挑战开始,概述了它们的局限性。我们提出了个性化营养的数字孪生概念。以数字化临床平台为基础,阐述了如何应用数字孪生技术建立多模块、多尺度的患者模拟预测平台。这种平台可以实现实时决策辅助,为个性化精准营养治疗提供了新的范例。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Digital twin enabled personalized nutrition
The concept of precision medicine paved a way to personalize nutritional diagnosis and treatment. This article begins with the challenges of current clinical nutritional diagnosis and treatment and outlines their limitations. We propose a concept of digital twin for personalized nutrition. It is based on a digital clinical platform and elaborates on how to apply digital twin technique to establish a multimodule, multiscale simulation and prediction platform for patient. This kind of platform can result in real-time decision-making assistance and provides a new paradigm for personalized precision nutrition treatment.
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