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Proof-of-Concept: Smartphone- and Cloud-Based Artificial Intelligence Quantitative Analysis System (SCAISY) for SARS-CoV-2-Specific IgG Antibody Lateral Flow Assays.
Kumar, Samir; Ko, Taewoo; Chae, Yeonghun; Jang, Yuyeon; Lee, Inha; Lee, Ahyeon; Shin, Sanghoon; Nam, Myung-Hyun; Kim, Byung Soo; Jun, Hyun Sik; Seo, Sungkyu.
Afiliação
  • Kumar S; Department of Electronics and Information Engineering, Korea University, Sejong 30019, Republic of Korea.
  • Ko T; Department of Electronics and Information Engineering, Korea University, Sejong 30019, Republic of Korea.
  • Chae Y; Season Co., Ltd., Sejong 30127, Republic of Korea.
  • Jang Y; Department of Biotechnology and Bioinformatics, Korea University, Sejong 30019, Republic of Korea.
  • Lee I; Department of Biotechnology and Bioinformatics, Korea University, Sejong 30019, Republic of Korea.
  • Lee A; Department of Electronics and Information Engineering, Korea University, Sejong 30019, Republic of Korea.
  • Shin S; Department of Electronics and Information Engineering, Korea University, Sejong 30019, Republic of Korea.
  • Nam MH; Department of Laboratory Medicine, Anam Hospital, Korea University College of Medicine, Seoul 02841, Republic of Korea.
  • Kim BS; Department of Hematology, Anam Hospital, Korea University College of Medicine, Seoul 02841, Republic of Korea.
  • Jun HS; Department of Biotechnology and Bioinformatics, Korea University, Sejong 30019, Republic of Korea.
  • Seo S; Department of Electronics and Information Engineering, Korea University, Sejong 30019, Republic of Korea.
Biosensors (Basel) ; 13(6)2023 Jun 05.
Article em En | MEDLINE | ID: mdl-37366988
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: SARS-CoV-2 / COVID-19 Tipo de estudo: Diagnostic_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: SARS-CoV-2 / COVID-19 Tipo de estudo: Diagnostic_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article