Machine learning to support visual auditing of home-based lateral flow immunoassay self-test results for SARS-CoV-2 antibodies

oleh: Nathan C. K. Wong, Sepehr Meshkinfamfard, Valérian Turbé, Matthew Whitaker, Maya Moshe, Alessia Bardanzellu, Tianhong Dai, Eduardo Pignatelli, Wendy Barclay, Ara Darzi, Paul Elliott, Helen Ward, Reiko J. Tanaka, Graham S. Cooke, Rachel A. McKendry, Christina J. Atchison, Anil A. Bharath

Format: Article
Diterbitkan: Nature Portfolio 2022-07-01

Deskripsi

Wong et al. describe a machine learning approach for visual auditing of lateral flow tests for SARS-CoV-2 antibodies. Their automated analysis shows strong agreement with experts and consistently better performance than non-expert study participants at classifying positive results.