通过挥发组学进行疾病检测的人工智能纳米阵列

Rotem Vishinkin, H. Haick
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引用次数: 3

摘要

许多疾病的延迟诊断是由于现有方法的技术限制造成的。因此,需要一种新的技术来实现有效的早期检测、个性化治疗的人群分层和治疗效果的快速评估。这种新兴的方法基于固态或柔性传感器的人工智能传感阵列,这些传感器检测所谓的“挥发组学”,即挥发性有机化合物(VOCs)的轮廓,挥发性有机化合物是代谢过程的副产品,从各种体液中释放出来。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Artificially intelligent nanoarrays for disease detection via volatolomics
Delayed diagnosis of many diseases is caused by technology limitations of currently available methods. Therefore, there is a need for novel technology that would allow efficient early detection, population stratification for personalized therapy, and for rapid assessment of treatment efficacy. Such an emerging approach is based on artificially intelligent sensing arrays of solid-state or flexible sensors that detect the so-called "volatolomics", viz. profiles of volatile organic compounds (VOCs) which are by-products of metabolic processes and emit from various body fluids.
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