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Paper microfluidics with deep learning for portable intelligent nucleic acid amplification tests.
Sun, Hao; Xie, Wantao; Huang, Yi; Mo, Jin; Dong, Hui; Chen, Xinkai; Zhang, Zhixing; Shang, Junyi.
Afiliação
  • Sun H; School of Mechanical Engineering and Automation, Fuzhou University, 350108, China; Fujian Provincial Collaborative Innovation Centre of High-End Equipment Manufacturing, 350108, China. Electronic address: sh@fzu.edu.cn.
  • Xie W; School of Mechanical Engineering and Automation, Fuzhou University, 350108, China; Fujian Provincial Collaborative Innovation Centre of High-End Equipment Manufacturing, 350108, China.
  • Huang Y; Centre for Experimental Research in Clinical Medicine, Fujian Provincial Hospital, 350001, China.
  • Mo J; School of Mechanical Engineering and Automation, Fuzhou University, 350108, China; Fujian Provincial Collaborative Innovation Centre of High-End Equipment Manufacturing, 350108, China.
  • Dong H; School of Mechanical Engineering and Automation, Fuzhou University, 350108, China; Fujian Provincial Collaborative Innovation Centre of High-End Equipment Manufacturing, 350108, China. Electronic address: hdong@fzu.edu.cn.
  • Chen X; Star-Net Ruijie Science & Technology Co., Ltd., 350108, China.
  • Zhang Z; Sino-German College of Intelligent Manufacturing, Shenzhen Technology University, 518118, China. Electronic address: zhangzhixing@sztu.edu.cn.
  • Shang J; School of Automation, Beijing Institute of Technology, 100081, China. Electronic address: shangjunyi@bit.edu.cn.
Talanta ; 258: 124470, 2023 Jun 01.
Article em En | MEDLINE | ID: mdl-36958098
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Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 4_TD Base de dados: MEDLINE Assunto principal: Aprendizado Profundo / COVID-19 Tipo de estudo: Diagnostic_studies / Prognostic_studies / Qualitative_research Limite: Humans Idioma: En Revista: Talanta Ano de publicação: 2023 Tipo de documento: Article
Texto completo
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XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 4_TD Base de dados: MEDLINE Assunto principal: Aprendizado Profundo / COVID-19 Tipo de estudo: Diagnostic_studies / Prognostic_studies / Qualitative_research Limite: Humans Idioma: En Revista: Talanta Ano de publicação: 2023 Tipo de documento: Article