Artificial intelligence-assisted loop mediated isothermal amplification (AI-LAMP) for rapid detection of SARS-CoV-2
| Autor: | Lisa Butler, Ravinder Sodi, Muhammad Munir, Mahmoud Bayoumi, Julianne Vilela, Peter Burkhart, Amy Brown, Irem Sahin, Nouman S. Chaudhry, Mohammad Q. Al-Natour, Emily Clayton, Judy Botham, Wendy Hacking, Roberto M. La Ragione, Mohammed A. Rohaim, Anil Fernando, Elisabeth Shaw, Manar E. Khalifa, Wamadeva Balachandran, Aurore C. Poirier, Mukunthan Tharmakulasingam, Michelle D Bates, Joe Boyce, Matthew D. Hodges, Craig Williams, Hayley Wilkinson, Manoharanehru Branavan, Jayde Whittingham-Dowd |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
0301 basic medicine
Coronavirus disease 2019 (COVID-19) Computer science diagnosis Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) 030106 microbiology Pneumonia Viral Loop-mediated isothermal amplification lcsh:QR1-502 medicine.disease_cause Real-Time Polymerase Chain Reaction Rapid detection Sensitivity and Specificity lcsh:Microbiology Article Madin Darby Canine Kidney Cells 03 medical and health sciences Betacoronavirus COVID-19 Testing Dogs LAMP Virology Chlorocebus aethiops medicine Image acquisition Animals Humans SARS-CoV-2 point of care artificial intelligence Pandemics Vero Cells Coronavirus Point of care business.industry Clinical Laboratory Techniques COVID-19 Gold standard (test) 030104 developmental biology Infectious Diseases Molecular Diagnostic Techniques RNA Viral Artificial intelligence business Coronavirus Infections Nucleic Acid Amplification Techniques |
| Zdroj: | Viruses; Volume 12; Issue 9; Pages: 972 Viruses Viruses, Vol 12, Iss 972, p 972 (2020) |
| Popis: | 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. BBSRC (repurposing the LAMP prototypes produced in the grant BB/R012695/1 to be used for SARS-CoV-2 laboratory testing at The University of Lancaster); BBSRC (BB/M008681/1 and BBS/E/I/00001852); British Council (172710323 and 332228521); Brunel University London; University of Surrey. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|