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      Machine Learning to Support Visual Auditing of Home-based Lateral Flow Immunoassay Self-Test Results for SARS-CoV-2 Antibodies

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      Wong_etal_CM_Machine_Learning_To_VOR.pdf (1.286Mb)
      Publication date
      12/2022
      Author
      Wong, Nathan Chun Kin
      Meshkinfamfard, Sepehr
      Turbe, Valerian
      Whitaker, Matthew
      Moshe, Maya
      Bardanzellu, Alessia
      Dai, Tianhong
      Pignatelli, Eduardo
      Barclay, Wendy
      Darzi, Ara
      Elliott, Paul
      Ward, Helen
      Tanaka, Reiko
      Cooke, Graham
      McKendry, Rachel
      Atchison, Christina
      Bharath, Anil A.
      Metadata
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      Citation
      Wong , N C K , Meshkinfamfard , S , Turbe , V , Whitaker , M , Moshe , M , Bardanzellu , A , Dai , T , Pignatelli , E , Barclay , W , Darzi , A , Elliott , P , Ward , H , Tanaka , R , Cooke , G , McKendry , R , Atchison , C & Bharath , A A 2022 , ' Machine Learning to Support Visual Auditing of Home-based Lateral Flow Immunoassay Self-Test Results for SARS-CoV-2 Antibodies ' , Communications Medicine , vol. 2 , 78 . https://doi.org/10.1038/s43856-022-00146-z
      URI
      https://hdl.handle.net/2164/20296
      DOI
      https://doi.org/10.1038/s43856-022-00146-z
      Rights
      Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
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