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High-precision rapid testing of omicron SARS-CoV-2 variants in clinical samples using AI-nanopore.

Kaoru MurakamiShimpei I KubotaKumiko TanakaHiroki TanakaKeiichiroh AkabaneRigel SuzukiYuta ShinoharaHiroyasu TakeiShigeru HashimotoYuki TanakaShintaro HojyoOsamu SakamotoNorihiko NaonoTakayui TakaaiKazuki SatoYuichi KojimaToshiyuki HaradaTakeshi HattoriSatoshi FukeIsao YokotaSatoshi KonnoTakashi WashioTakasuke FukuharaTakanori TeshimaMasateru TaniguchiMasaaki Murakami
Published in: Lab on a chip (2023)
A digital platform that can rapidly and accurately diagnose pathogenic viral variants, including SARS-CoV-2, will minimize pandemics, public anxiety, and economic losses. We recently reported an artificial intelligence (AI)-nanopore platform that enables testing for Wuhan SARS-CoV-2 with high sensitivity and specificity within five minutes. However, which parts of the virus are recognized by the platform are unknown. Similarly, whether the platform can detect SARS-CoV-2 variants or the presence of the virus in clinical samples needs further study. Here, we demonstrated the platform can distinguish SARS-CoV-2 variants. Further, it identified mutated Wuhan SARS-CoV-2 expressing spike proteins of the delta and omicron variants, indicating it discriminates spike proteins. Finally, we used the platform to identify omicron variants with a sensitivity and specificity of 100% and 94%, respectively, in saliva specimens from COVID-19 patients. Thus, our results demonstrate the AI-nanopore platform is an effective diagnostic tool for SARS-CoV-2 variants.
Keyphrases
  • sars cov
  • artificial intelligence
  • copy number
  • respiratory syndrome coronavirus
  • high throughput
  • machine learning
  • big data
  • deep learning
  • single molecule
  • coronavirus disease
  • emergency department
  • mental health