Rapid and automated interpretation of CRISPR-Cas13-based lateral flow assay test results using machine learning

We present two machine learning models for rapid and automated interpretation of smartphone-captured images of a CRISPR-Cas13-based lateral flow assay for the detection of the SARS-CoV-2 N gene, which classified the test results with 96.5% accuracy.