Novel approaches for COVID-19 diagnosis and treatment: a nonsystematic review.

Turkish journal of biology = Turk biyoloji dergisi Pub Date : 2021-08-30 eCollection Date: 2021-01-01 DOI:10.3906/biy-2105-45
Şebnem Garip Ustaoğlu, Hakan Kaygusuz, Mehmet Dinçer Bilgin, Feride Severcan
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Abstract

Since COVID-19 pandemic has been continuously rising and spreading, several original contributions and review articles on COVID-19 started to appear in the literature. The review articles are mainly focus on the current status of the pandemic along with current status of the corona diagnosis and treatment process. Due to some disadvantages of the currently used methods, the improvement on the novel promising diagnosis and treatment methods of corona virus is very important issue. In this review, after briefly discussing the status of current diagnosis and treatment methods, we present to the scientific community, novel promising methods in the diagnosis and treatment of COVID-19. As with other novel approaches, first, the diagnosis potential of mass spectroscopy and optical spectroscopic methods such as UV/visible, infrared, and Raman spectroscopy coupled with chemometrics will be discussed for the corona virus infected samples based on the relevant literature. In vibrational spectroscopy studies, due to complexity of the data, multivariate analysis methods are also applied to data. The application of multivariate analysis tools that can be used to extract useful information from the data for diagnostic and characterisation purposes is also included in this review. The reviewed methods include hierarchical cluster analysis, principal component analysis, linear and quadratic discriminant analysis, support vector machine algorithm, and one form of neural networks namely deep learning method. Second, novel treatment methods such as photodynamic therapy and the use of nanoparticles in the in-corona virus therapy will be discussed. Finally, the advantages of novel promising diagnosis and treatment methods in COVID-19, over standard methods will be discussed. One of the main aims of this paper is to encourage the scientific community to explore the potential of this novel tools for their use in corona virus characterization, diagnosis, and treatment.

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诊断和治疗 COVID-19 的新方法:非系统综述。
自 COVID-19 大流行持续升温和蔓延以来,文献中开始出现一些关于 COVID-19 的原创文章和综述文章。这些综述文章主要关注该流行病的现状以及电晕诊断和治疗过程的现状。由于目前使用的方法存在一些弊端,因此改进有前景的新型电晕病毒诊断和治疗方法是非常重要的问题。在这篇综述中,我们在简要讨论了当前诊断和治疗方法的现状之后,向科学界介绍了诊断和治疗 COVID-19 的有前途的新方法。与其他新型方法一样,首先,我们将根据相关文献,讨论质谱和光学光谱方法(如紫外/可见光、红外和拉曼光谱)结合化学计量学对电晕病毒感染样本的诊断潜力。在振动光谱研究中,由于数据的复杂性,也会对数据采用多元分析方法。多变量分析工具可用于从数据中提取有用信息,以达到诊断和表征的目的。审查的方法包括分层聚类分析、主成分分析、线性和二次判别分析、支持向量机算法以及一种神经网络形式,即深度学习方法。其次,将讨论新型治疗方法,如光动力疗法和在电晕内病毒疗法中使用纳米粒子。最后,还将讨论 COVID-19 中有前景的新型诊断和治疗方法相对于标准方法的优势。本文的主要目的之一是鼓励科学界探索这种新型工具在电晕病毒特征描述、诊断和治疗中的应用潜力。
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