Suppr超能文献

人工智能辅助环介导等温扩增技术(AI-LAMP)快速检测 SARS-CoV-2。

Artificial Intelligence-Assisted Loop Mediated Isothermal Amplification (AI-LAMP) for Rapid Detection of SARS-CoV-2.

机构信息

Division of Biomedical and Life Sciences, Faculty of Health and Medicine, The Lancaster University, Lancaster LA1 4YW, UK.

Department of Pathology and Infectious Diseases, School of Veterinary Medicine, University of Surrey, Guildford GU2 7AL, UK.

出版信息

Viruses. 2020 Sep 1;12(9):972. doi: 10.3390/v12090972.

Abstract

Until vaccines and effective therapeutics become available, the practical solution to transit safely out of the current coronavirus disease 19 (CoVID-19) lockdown may include the implementation of an effective testing, tracing and tracking system. However, this requires a reliable and clinically validated diagnostic platform for the sensitive and specific identification of SARS-CoV-2. Here, we report on the development of a de novo, high-resolution and comparative genomics guided reverse-transcribed loop-mediated isothermal amplification (LAMP) assay. To further enhance the assay performance and to remove any subjectivity associated with operator interpretation of results, we engineered a novel hand-held smart diagnostic device. The robust diagnostic device was further furnished with automated image acquisition and processing algorithms and the collated data was processed through artificial intelligence (AI) pipelines to further reduce the assay run time and the subjectivity of the colorimetric LAMP detection. This advanced AI algorithm-implemented LAMP (ai-LAMP) assay, targeting the RNA-dependent RNA polymerase gene, showed high analytical sensitivity and specificity for SARS-CoV-2. A total of ~200 coronavirus disease (CoVID-19)-suspected NHS patient samples were tested using the platform and it was shown to be reliable, highly specific and significantly more sensitive than the current gold standard qRT-PCR. Therefore, this system could provide an efficient and cost-effective platform to detect SARS-CoV-2 in resource-limited laboratories.

摘要

在疫苗和有效的治疗方法问世之前,安全走出当前 2019 冠状病毒病(COVID-19)封锁的实际解决方案可能包括实施有效的检测、追踪和跟踪系统。然而,这需要一个可靠的、经过临床验证的诊断平台,用于敏感和特异性地识别 SARS-CoV-2。在这里,我们报告了一种新的、高分辨率和基于比较基因组学的逆转录环介导等温扩增(LAMP)检测方法的开发。为了进一步提高检测性能,并消除与操作人员对结果的主观解释相关的任何主观性,我们设计了一种新型的手持式智能诊断设备。该强大的诊断设备进一步配备了自动化图像采集和处理算法,通过人工智能(AI)管道处理整理后的数据,以进一步减少检测时间和比色 LAMP 检测的主观性。这种先进的人工智能算法实现的 LAMP(ai-LAMP)检测,针对 RNA 依赖性 RNA 聚合酶基因,对 SARS-CoV-2 显示出高的分析灵敏度和特异性。使用该平台对总共约 200 个疑似 NHS 患者的 COVID-19 样本进行了测试,结果表明该平台可靠、高度特异且比当前的金标准 qRT-PCR 灵敏性显著更高。因此,该系统可为资源有限的实验室提供一种有效的、具有成本效益的 SARS-CoV-2 检测平台。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d957/7552048/88fc6383d505/viruses-12-00972-g001.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验