Raman spectroscopy is a widely developing approach for noninvasive analysis that can provide information on chemical composition and molecular structure. High chemical specificity calls for developing different medical diagnostic applications based on Raman spectroscopy. This review focuses on the Raman-based techniques used in medical diagnostics and provides an overview of such techniques, possible areas of their application, and current limitations. We have reviewed recent studies proposing conventional Raman spectroscopy and surface-enhanced Raman spectroscopy for rapid measuring of specific biomarkers of such diseases as cardiovascular disease, cancer, neurogenerative disease, and coronavirus disease (COVID-19). As a result, we have discovered several most promising Raman-based applications to identify affected persons by detecting some significant spectral features. We have analyzed these approaches in terms of their potentially diagnostic power and highlighted the remaining challenges and limitations preventing their translation into clinical settings.

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基于拉曼的技术在医疗诊断任务中的应用：综述。

拉曼光谱是一种广泛发展的非侵入性分析方法，可以提供有关化学成分和分子结构的信息。高化学特异性要求开发基于拉曼光谱的不同医疗诊断应用。本综述重点关注医疗诊断中使用的基于拉曼的技术，并概述此类技术、其可能的应用领域以及当前的局限性。我们回顾了最近的研究，提出使用传统拉曼光谱和表面增强拉曼光谱来快速测量心血管疾病、癌症、神经生成疾病和冠状病毒疾病 (COVID-19) 等疾病的特定生物标志物。因此，我们发现了几种最有前途的基于拉曼的应用程序，通过检测一些重要的光谱特征来识别受影响的人。我们分析了这些方法的潜在诊断能力，并强调了阻碍其转化为临床环境的剩余挑战和限制。