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Machine learning to support visual auditing of home-based lateral flow immunoassay self-test results for SARS-CoV-2 antibodies.
Wong, Nathan C K; Meshkinfamfard, Sepehr; Turbé, Valérian; Whitaker, Matthew; Moshe, Maya; Bardanzellu, Alessia; Dai, Tianhong; Pignatelli, Eduardo; Barclay, Wendy; Darzi, Ara; Elliott, Paul; Ward, Helen; Tanaka, Reiko J; Cooke, Graham S; McKendry, Rachel A; Atchison, Christina J; Bharath, Anil A.
Afiliação
  • Wong NCK; Department of Bioengineering, Imperial College London, London, UK.
  • Meshkinfamfard S; London Centre for Nanotechnology, University College London, London, UK.
  • Turbé V; London Centre for Nanotechnology, University College London, London, UK.
  • Whitaker M; School of Public Health, Imperial College London, London, UK.
  • Moshe M; Department of Infectious Disease, Imperial College London, London, UK.
  • Bardanzellu A; Department of Bioengineering, Imperial College London, London, UK.
  • Dai T; Department of Bioengineering, Imperial College London, London, UK.
  • Pignatelli E; Department of Bioengineering, Imperial College London, London, UK.
  • Barclay W; Imperial College Healthcare NHS Trust, London, UK.
  • Darzi A; Department of Infectious Disease, Imperial College London, London, UK.
  • Elliott P; National Institute for Health Research Imperial Biomedical Research Centre, London, UK.
  • Ward H; Imperial College Healthcare NHS Trust, London, UK.
  • Tanaka RJ; Institute of Global Health Innovation, Imperial College London, London, UK.
  • Cooke GS; National Institute for Health Research Imperial Biomedical Research Centre, London, UK.
  • McKendry RA; School of Public Health, Imperial College London, London, UK.
  • Atchison CJ; Imperial College Healthcare NHS Trust, London, UK.
  • Bharath AA; National Institute for Health Research Imperial Biomedical Research Centre, London, UK.
Commun Med (Lond) ; 2: 78, 2022.
Article em En | MEDLINE | ID: mdl-35814295
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Risk_factors_studies Idioma: En Revista: Commun Med (Lond) Ano de publicação: 2022 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Risk_factors_studies Idioma: En Revista: Commun Med (Lond) Ano de publicação: 2022 Tipo de documento: Article