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Artificial Intelligence-Assisted Loop Mediated Isothermal Amplification (AI-LAMP) for Rapid Detection of SARS-CoV-2.
Rohaim, Mohammed A; Clayton, Emily; Sahin, Irem; Vilela, Julianne; Khalifa, Manar E; Al-Natour, Mohammad Q; Bayoumi, Mahmoud; Poirier, Aurore C; Branavan, Manoharanehru; Tharmakulasingam, Mukunthan; Chaudhry, Nouman S; Sodi, Ravinder; Brown, Amy; Burkhart, Peter; Hacking, Wendy; Botham, Judy; Boyce, Joe; Wilkinson, Hayley; Williams, Craig; Whittingham-Dowd, Jayde; Shaw, Elisabeth; Hodges, Matt; Butler, Lisa; Bates, Michelle D; La Ragione, Roberto; Balachandran, Wamadeva; Fernando, Anil; Munir, Muhammad.
Afiliação
  • Rohaim MA; Division of Biomedical and Life Sciences, Faculty of Health and Medicine, The Lancaster University, Lancaster LA1 4YW, UK.
  • Clayton E; Division of Biomedical and Life Sciences, Faculty of Health and Medicine, The Lancaster University, Lancaster LA1 4YW, UK.
  • Sahin I; Division of Biomedical and Life Sciences, Faculty of Health and Medicine, The Lancaster University, Lancaster LA1 4YW, UK.
  • Vilela J; Division of Biomedical and Life Sciences, Faculty of Health and Medicine, The Lancaster University, Lancaster LA1 4YW, UK.
  • Khalifa ME; Division of Biomedical and Life Sciences, Faculty of Health and Medicine, The Lancaster University, Lancaster LA1 4YW, UK.
  • Al-Natour MQ; Division of Biomedical and Life Sciences, Faculty of Health and Medicine, The Lancaster University, Lancaster LA1 4YW, UK.
  • Bayoumi M; Division of Biomedical and Life Sciences, Faculty of Health and Medicine, The Lancaster University, Lancaster LA1 4YW, UK.
  • Poirier AC; Department of Pathology and Infectious Diseases, School of Veterinary Medicine, University of Surrey, Guildford GU2 7AL, UK.
  • Branavan M; College of Engineering, Design and Physical Sciences, Brunel University London, Kingston Lane, Uxbridge UB8 3PH, UK.
  • Tharmakulasingam M; Centre for Vision, Speech and Signal Processing, University of Surrey, Guildford GU2 7XH, UK.
  • Chaudhry NS; Centre for Vision, Speech and Signal Processing, University of Surrey, Guildford GU2 7XH, UK.
  • Sodi R; Department of Biochemistry, Poole & Bournemouth Hospitals NHS Trust, Longfleet Road, Poole BH15 2JB, UK.
  • Brown A; The Royal Lancaster Infirmary, University Hospitals of Morecambe Bay NHS, Foundation Trust, Kendal LA9 7RG, UK.
  • Burkhart P; The Royal Lancaster Infirmary, University Hospitals of Morecambe Bay NHS, Foundation Trust, Kendal LA9 7RG, UK.
  • Hacking W; The Royal Lancaster Infirmary, University Hospitals of Morecambe Bay NHS, Foundation Trust, Kendal LA9 7RG, UK.
  • Botham J; The Royal Lancaster Infirmary, University Hospitals of Morecambe Bay NHS, Foundation Trust, Kendal LA9 7RG, UK.
  • Boyce J; The Royal Lancaster Infirmary, University Hospitals of Morecambe Bay NHS, Foundation Trust, Kendal LA9 7RG, UK.
  • Wilkinson H; The Royal Lancaster Infirmary, University Hospitals of Morecambe Bay NHS, Foundation Trust, Kendal LA9 7RG, UK.
  • Williams C; The Royal Lancaster Infirmary, University Hospitals of Morecambe Bay NHS, Foundation Trust, Kendal LA9 7RG, UK.
  • Whittingham-Dowd J; Division of Biomedical and Life Sciences, Faculty of Health and Medicine, The Lancaster University, Lancaster LA1 4YW, UK.
  • Shaw E; Division of Biomedical and Life Sciences, Faculty of Health and Medicine, The Lancaster University, Lancaster LA1 4YW, UK.
  • Hodges M; Division of Biomedical and Life Sciences, Faculty of Health and Medicine, The Lancaster University, Lancaster LA1 4YW, UK.
  • Butler L; Division of Biomedical and Life Sciences, Faculty of Health and Medicine, The Lancaster University, Lancaster LA1 4YW, UK.
  • Bates MD; Division of Biomedical and Life Sciences, Faculty of Health and Medicine, The Lancaster University, Lancaster LA1 4YW, UK.
  • La Ragione R; Department of Pathology and Infectious Diseases, School of Veterinary Medicine, University of Surrey, Guildford GU2 7AL, UK.
  • Balachandran W; College of Engineering, Design and Physical Sciences, Brunel University London, Kingston Lane, Uxbridge UB8 3PH, UK.
  • Fernando A; Centre for Vision, Speech and Signal Processing, University of Surrey, Guildford GU2 7XH, UK.
  • Munir M; Division of Biomedical and Life Sciences, Faculty of Health and Medicine, The Lancaster University, Lancaster LA1 4YW, UK.
Viruses ; 12(9)2020 09 01.
Article em En | MEDLINE | ID: mdl-32883050
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.
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Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 4_TD Base de dados: MEDLINE Assunto principal: Pneumonia Viral / Inteligência Artificial / Infecções por Coronavirus / Técnicas de Amplificação de Ácido Nucleico / Técnicas de Diagnóstico Molecular / Betacoronavirus Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Animals / Humans Idioma: En Revista: Viruses Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 4_TD Base de dados: MEDLINE Assunto principal: Pneumonia Viral / Inteligência Artificial / Infecções por Coronavirus / Técnicas de Amplificação de Ácido Nucleico / Técnicas de Diagnóstico Molecular / Betacoronavirus Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Animals / Humans Idioma: En Revista: Viruses Ano de publicação: 2020 Tipo de documento: Article