Viruses, Vol. 12, Pages 972: Artificial Intelligence-Assisted Loop Mediated Isothermal Amplification (ai-LAMP) for Rapid Detection of SARS-CoV-2

Viruses, Vol. 12, Pages 972: Artificial Intelligence-Assisted Loop Mediated Isothermal Amplification (ai-LAMP) for Rapid Detection of SARS-CoV-2 Viruses doi: 10.3390/v12090972 Authors: Mohammed A. Rohaim 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 Muhammad Munir 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...
Source: Viruses - Category: Virology Authors: Tags: Article Source Type: research