Sample-to-answer platform for the clinical evaluation of COVID-19 using a deep learning-assisted smartphone-based assay

Since many lateral flow assays (LFA) are tested daily, the improvement in accuracy can greatly impact individual patient care and public health. However, current self-testing for COVID-19 detection suffers from low accuracy, mainly due to the LFA sensitivity and reading ambiguities. Here, we present...

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Detalles Bibliográficos
Autores principales: Lee , Seungmin, Kim , Sunmok, Yoon, Dae Sung, Park, Jeong Soo, Woo, Hyowon, Lee , Dongho, Cho, Sung-Yeon, Park, Chulmin, Yoo , Yong Kyoung, Lee, Ki- Baek, Lee, Jeong Hoon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10124933/
https://www.ncbi.nlm.nih.gov/pubmed/37095107
http://dx.doi.org/10.1038/s41467-023-38104-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10124933/
https://www.ncbi.nlm.nih.gov/pubmed/37095107
http://dx.doi.org/10.1038/s41467-023-38104-5

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