Artificial Intelligence-Assisted Loop Mediated Isothermal Amplification (ai-LAMP) for Rapid and Reliable Detection of SARS-CoV-2

Artificial Intelligence-Assisted Loop Mediated Isothermal Amplification (ai-LAMP) for Rapid and Reliable Detection of SARS-CoV-2
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DOI:
10.1101/2020.07.08.20148999
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发表时间:
2020-07
期刊:
medRxiv
影响因子:
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通讯作者:
M. Rohaim;Emily Clayton;Irem Sahin;Julianne Vilela;Manar E. Khalifa;Mohammed Al-Natour;Mahmoud Bayoumi;Aurore C. Poirier;Manoharanehru Branavan;Mukunthan Tharmakulasingam;Nouman S Chaudhry;Ravinder Sodi;Amy Brown;Peter Burkhart;Wendy Hacking;Judy Botham;Joe Boyce;H. Wilkinson;Craig Williams;M. Bates;Roberto LaRagione;Wamadeva Balachandran;Anil Fernando;Muhammad Munir
M. Rohaim;Emily Clayton;Irem Sahin;Julianne Vilela;Manar E. Khalifa;Mohammed Al-Natour;Mahmoud Bayoumi;Aurore C. Poirier;Manoharanehru Branavan;Mukunthan Tharmakulasingam;Nouman S Chaudhry;Ravinder Sodi;Amy Brown;Peter Burkhart;Wendy Hacking;Judy Botham;Joe Boyce;H. Wilkinson;Craig Williams;M. Bates;Roberto LaRagione;Wamadeva Balachandran;Anil Fernando;Muhammad Munir
中科院分区:
其他
文献类型:
--
作者:
M. Rohaim;Emily Clayton;Irem Sahin;Julianne Vilela;Manar E. Khalifa;Mohammed Al-Natour;Mahmoud Bayoumi;Aurore C. Poirier;Manoharanehru Branavan;Mukunthan Tharmakulasingam;Nouman S Chaudhry;Ravinder Sodi;Amy Brown;Peter Burkhart;Wendy Hacking;Judy Botham;Joe Boyce;H. Wilkinson;Craig Williams;M. Bates;Roberto LaRagione;Wamadeva Balachandran;Anil Fernando;Muhammad Munir

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在疫苗和有效的治疗方法出现之前,安全摆脱当前封锁的实际方法可能包括实施有效的检测、追踪和追踪系统。然而,这需要一个可靠且经过临床验证的诊断平台来灵敏、特异地识别 SARS-CoV-2。在这里,我们报告了从头开始、高分辨率和比较基因组学引导的逆转录环介导等温扩增(LAMP)测定的发展。为了进一步提高检测性能并消除与操作员解释结果相关的任何主观性,我们设计了一种新型手持式智能诊断设备。强大的诊断设备还配备了自动图像采集和处理算法,并通过人工智能 (AI) 管道处理整理的数据,以进一步减少测定运行时间和比色 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 显示出高分析灵敏度和特异性。使用该平台对总共约 200 例冠状病毒病 (CoVID-19) 疑似患者样本进行了测试,结果表明该平台可靠、高度特异性,并且比当前的金标准 qRT-PCR 更敏感。该系统可以提供一个高效且具有成本效益的平台,在资源有限的实验室中检测 SARS-CoV-2。
Until vaccines and effective therapeutics become available, the practical way to transit safely out of the current 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 result, 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 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. The system could provide an efficient and cost-effective platform to detect SARS-CoV-2 in resource-limited laboratories.