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

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
College of Engineering, Design and Physical Sciences, Brunel University London, Kingston Lane, Uxbridge UB8 3PH, UK
Centre for Vision, Speech and Signal Processing, University of Surrey, Guildford GU2 7XH, UK
Department of Biochemistry, Poole & Bournemouth Hospitals NHS Trust, Longfleet Road, Poole BH15 2JB, UK
The Royal Lancaster Infirmary, University Hospitals of Morecambe Bay NHS, Foundation Trust, Kendal LA9 7RG, UK
Author to whom correspondence should be addressed.
Viruses 2020, 12(9), 972;
Received: 16 July 2020 / Revised: 22 August 2020 / Accepted: 24 August 2020 / Published: 1 September 2020
(This article belongs to the Collection Coronaviruses)
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. View Full-Text
Keywords: SARS-CoV-2; diagnosis; LAMP; point of care; artificial intelligence SARS-CoV-2; diagnosis; LAMP; point of care; artificial intelligence
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MDPI and ACS Style

Rohaim, M.A.; Clayton, E.; Sahin, I.; Vilela, J.; Khalifa, M.E.; Al-Natour, M.Q.; Bayoumi, M.; Poirier, A.C.; Branavan, M.; Tharmakulasingam, M.; Chaudhry, N.S.; 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, M.D.; La Ragione, R.; Balachandran, W.; Fernando, A.; Munir, M. Artificial Intelligence-Assisted Loop Mediated Isothermal Amplification (AI-LAMP) for Rapid Detection of SARS-CoV-2. Viruses 2020, 12, 972.

AMA Style

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. Artificial Intelligence-Assisted Loop Mediated Isothermal Amplification (AI-LAMP) for Rapid Detection of SARS-CoV-2. Viruses. 2020; 12(9):972.

Chicago/Turabian Style

Rohaim, Mohammed A., Emily Clayton, Irem Sahin, Julianne Vilela, Manar E. Khalifa, Mohammad Q. 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, Hayley Wilkinson, Craig Williams, Jayde Whittingham-Dowd, Elisabeth Shaw, Matt Hodges, Lisa Butler, Michelle D. Bates, Roberto La Ragione, Wamadeva Balachandran, Anil Fernando, and Muhammad Munir. 2020. "Artificial Intelligence-Assisted Loop Mediated Isothermal Amplification (AI-LAMP) for Rapid Detection of SARS-CoV-2" Viruses 12, no. 9: 972.

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