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
Abstract 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, system could provide an efficient and cost-effective platform to detect SARS-CoV-2 in resource-limited laboratories.
Sahin Irem、Vilela Julianne、Khalifa Manar E、Rohaim Mohammed A、Tharmakulasingam Mukunthan、Sodi Ravinder、Burkhart Peter、Botham Judy、Boyce Joe、Brown Amy、Chaudhry Nouman S、La Ragione Roberto、Munir Muhammad、Fernando Anil、Williams Craig、Branavan Manoharanehru、Poirier Aurore、Balachandran Wamadeva、Bayoumi Mahmoud、Wilkinson Hayley、Bates Michelle、Hacking Wendy、Al-Natour Mohammad Q、Clayton Emily
Division of Biomedical and Life Sciences, Faculty of Health and Medicine, The Lancaster UniversityDivision of Biomedical and Life Sciences, Faculty of Health and Medicine, The Lancaster UniversityDivision of Biomedical and Life Sciences, Faculty of Health and Medicine, The Lancaster UniversityDivision of Biomedical and Life Sciences, Faculty of Health and Medicine, The Lancaster UniversityCentre for Vision, Speech and Signal Processing, University of SurreyDepartment of Biochemistry, Poole & Bournemouth Hospitals NHS TrustThe Royal Lancaster Infirmary, University Hospitals of Morecambe Bay NHSThe Royal Lancaster Infirmary, University Hospitals of Morecambe Bay NHSThe Royal Lancaster Infirmary, University Hospitals of Morecambe Bay NHSThe Royal Lancaster Infirmary, University Hospitals of Morecambe Bay NHSCentre for Vision, Speech and Signal Processing, University of SurreyDepartment of Pathology and Infectious Diseases, School of Veterinary Medicine, University of SurreyDivision of Biomedical and Life Sciences, Faculty of Health and Medicine, The Lancaster UniversityCentre for Vision, Speech and Signal Processing, University of SurreyThe Royal Lancaster Infirmary, University Hospitals of Morecambe Bay NHSCollege of Engineering, Design and Physical Sciences, Brunel University LondonDepartment of Pathology and Infectious Diseases, School of Veterinary Medicine, University of SurreyCollege of Engineering, Design and Physical Sciences, Brunel University LondonDivision of Biomedical and Life Sciences, Faculty of Health and Medicine, The Lancaster UniversityThe Royal Lancaster Infirmary, University Hospitals of Morecambe Bay NHSDivision of Biomedical and Life Sciences, Faculty of Health and Medicine, The Lancaster UniversityThe Royal Lancaster Infirmary, University Hospitals of Morecambe Bay NHSDivision of Biomedical and Life Sciences, Faculty of Health and Medicine, The Lancaster UniversityDivision of Biomedical and Life Sciences, Faculty of Health and Medicine, The Lancaster University
医学研究方法生物科学研究方法、生物科学研究技术自动化技术、自动化技术设备
SARS-CoV-2diagnosisLAMPpoint of careartificial intelligence
Sahin Irem,Vilela Julianne,Khalifa Manar E,Rohaim Mohammed A,Tharmakulasingam Mukunthan,Sodi Ravinder,Burkhart Peter,Botham Judy,Boyce Joe,Brown Amy,Chaudhry Nouman S,La Ragione Roberto,Munir Muhammad,Fernando Anil,Williams Craig,Branavan Manoharanehru,Poirier Aurore,Balachandran Wamadeva,Bayoumi Mahmoud,Wilkinson Hayley,Bates Michelle,Hacking Wendy,Al-Natour Mohammad Q,Clayton Emily.Artificial Intelligence-Assisted Loop Mediated Isothermal Amplification (ai-LAMP) for Rapid Detection of SARS-CoV-2[EB/OL].(2025-03-28)[2025-04-28].https://www.medrxiv.org/content/10.1101/2020.07.08.20148999.点此复制
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