Blazing the trail for innovative tuberculosis diagnostics.
Blazing the trail for innovative tuberculosis diagnostics.
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DOI：
10.1007/s15010-023-02135-3
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发表时间：
2024-02
期刊：
影响因子：
7.5
通讯作者：
Denkinger, Claudia M.
中科院分区：
文献类型：
--
作者：
Yerlikaya, Seda;Broger, Tobias;Isaacs, Chris;Bell, David;Holtgrewe, Lydia;Gupta-Wright, Ankur;Nahid, Payam;Cattamanchi, Adithya;Denkinger, Claudia M.
2019冠状病毒病大流行以前所未有的方式使诊断成为人们关注的焦点，这不仅适用于病例管理，也适用于人口健康、监测和监控。该行业看到了显着的投资水平和加速的研究，引发了创新浪潮。简单的非侵入性采样方法，如鼻拭子，已被广泛用于从三级医院到社区的环境。自我检测也已被采纳为标准做法，不仅使用传统的侧流测试，但新的和负担得起的护理点分子诊断。新技术的使用，包括基于人工智能的诊断，在临床环境中迅速扩大。下一代测序的能力和对数字健康的接受程度显著提高。然而，在大流行开始4年后，SARS-CoV-2测试的市场已经饱和，开发人员可能会从利用他们的创新来治疗其他疾病中受益;结核病（TB）是诊断开发人员值得扩展的产品组合，因为疾病负担极高，非营利组织和政府的支持环境，以及迫切需要克服结核病诊断领域长期缺乏创新的问题。作为交换，通过采用针对COVID-19开发的增强的基于拭子的分子方法、基于仪器的更高灵敏度抗原检测技术和/或基于人工智能的数字健康技术，可以解决当前结核病检测方面的挑战。本文的目的是回顾如何将这些用于COVID-19诊断的创新方法应用于结核病，以产生类似的影响。
The COVID-19 pandemic brought diagnostics into the spotlight in an unprecedented way not only for case management but also for population health, surveillance, and monitoring. The industry saw notable levels of investment and accelerated research which sparked a wave of innovation. Simple non-invasive sampling methods such as nasal swabs have become widely used in settings ranging from tertiary hospitals to the community. Self-testing has also been adopted as standard practice using not only conventional lateral flow tests but novel and affordable point-of-care molecular diagnostics. The use of new technologies, including artificial intelligence-based diagnostics, have rapidly expanded in the clinical setting. The capacity for next-generation sequencing and acceptance of digital health has significantly increased. However, 4 years after the pandemic started, the market for SARS-CoV-2 tests is saturated, and developers may benefit from leveraging their innovations for other diseases; tuberculosis (TB) is a worthwhile portfolio expansion for diagnostics developers given the extremely high disease burden, supportive environment from not-for-profit initiatives and governments, and the urgent need to overcome the long-standing dearth of innovation in the TB diagnostics field. In exchange, the current challenges in TB detection may be resolved by adopting enhanced swab-based molecular methods, instrument-based, higher sensitivity antigen detection technologies, and/or artificial intelligence-based digital health technologies developed for COVID-19. The aim of this article is to review how such innovative approaches for COVID-19 diagnosis can be applied to TB to have a comparable impact.
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发表时间：
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期刊：
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影响因子：
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作者：
通讯作者：
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DOI：
10.5588/ijtld.15.0209
发表时间：
2015-11
期刊：
The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease
影响因子：
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通讯作者：
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