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

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

DOI:
10.3390/v12090972
复制
发表时间:
2020-09-01
期刊:
Viruses
影响因子:
--
通讯作者:
Munir M
Munir M
中科院分区:
其他
文献类型:
--
作者:
Rohaim MA;Clayton E;Sahin I;Vilela J;Khalifa ME;Al-Natour MQ;Bayoumi M;Poirier AC;Branavan M;Tharmakulasingam M;Chaudhry NS;Sodi R;Brown A;Burkhart P;Hacking W;Botham J;Boyce J;Wilkinson H;Williams C;Whittingham-Dowd J;Shaw E;Hodges M;Butler L;Bates MD;La Ragione R;Balachandran W;Fernando A;Munir M

文献摘要

参考文献

被引文献

相似文献

在疫苗和有效的治疗方法可用之前,安全地从目前的冠状病毒病(COVID-19)封锁中过渡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,这需要一个可靠且经过临床验证的诊断平台来敏感且特异地识别SARS-CoV-2。在这里,我们报告的从头,高分辨率和比较基因组学指导的逆转录环介导等温扩增(LAMP)检测的发展。为了进一步提高检测性能并消除与操作员对结果解释相关的任何主观性,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AI算法实现的LAMP(ai-LAMP)检测,靶向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。使用该平台共检测了约200份疑似冠状病毒病(COVID-19)的NHS患者样本,结果显示该平台可靠、高度特异,且比当前的金标准qRT-PCR灵敏度高得多。因此,该系统可以提供一个有效的和成本效益的平台,在资源有限的实验室检测SARS-CoV-2。
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.
DOI: 10.1093/bib/bbx108
发表时间: 2019-07-19
影响因子: 9.5
作者:
Katoh K;Rozewicki J;Yamada KD
通讯作者: Yamada KD
DOI: 10.1109/access.2019.2901943
发表时间: 2019-01-01
期刊: IEEE ACCESS
影响因子: 3.9
作者:
Sun, Yingyi;Mao, Xianfeng;Gui, Guan
通讯作者: Gui, Guan
DOI: 10.1016/s0140-6736(03)13077-2
发表时间: 2003-04-19
期刊: Lancet (London, England)
影响因子: --
作者:
Peiris JS;Lai ST;Poon LL;Guan Y;Yam LY;Lim W;Nicholls J;Yee WK;Yan WW;Cheung MT;Cheng VC;Chan KH;Tsang DN;Yung RW;Ng TK;Yuen KY;SARS study group
通讯作者: SARS study group
DOI: 10.1080/22221751.2020.1719902
发表时间: 2020-01-01
影响因子: 13.2
作者:
Chan, Jasper Fuk-Woo;Kok, Kin-Hang;Yuen, Kwok-Yung
通讯作者: Yuen, Kwok-Yung
DOI: 10.3390/mi11030306
发表时间: 2020-03-01
期刊: MICROMACHINES
影响因子: 3.4
作者:
Nguyen, Trieu;Bang, Dang Duong;Wolff, Anders
通讯作者: Wolff, Anders