Final published version
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Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
}
TY - JOUR
T1 - Artificial Intelligence-Assisted Loop Mediated Isothermal Amplification (ai-LAMP) for Rapid Detection of SARS-CoV-2
AU - Rohaim, Mohammed
AU - Clayton, Emily
AU - Sahin, Irem
AU - Vilela, Julianne
AU - Khalifa, Manar
AU - Al-Natour, Mohammad
AU - Bayoumi, Mahmoud
AU - Poirier, Aurore C.
AU - Branavan, Manoharanehru
AU - Tharmakulasingam, Makunthan
AU - Choudhry, Mouman S.
AU - Sodi, Ravinder
AU - Brown, Amy
AU - Burkhart, Peter
AU - Hacking, Wendy
AU - Botham, Judy
AU - Boyce, Joe
AU - Wilkinson, Hayley
AU - Williams, Craig
AU - Whittingham-Dowd, Jayde
AU - Shaw, Elisabeth
AU - Hodges, Matt
AU - Butler, Lisa
AU - Bates, Michelle
AU - La Ragione, Roberto
AU - Balachandran, Wamadeva
AU - Fernando, Anil
AU - Munir, Muhammad
PY - 2020/9/1
Y1 - 2020/9/1
N2 - 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.
AB - 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.
KW - SARS-CoV-2
KW - diagnosis
KW - LAMP
KW - point of care
KW - artificial intelligence
U2 - 10.3390/v12090972
DO - 10.3390/v12090972
M3 - Journal article
VL - 12
JO - Viruses
JF - Viruses
SN - 1999-4915
IS - 9
M1 - 972
ER -