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Multi-labeled neural network model for automatically processing cardiomyocyte mechanical beating signals in drug assessment.
Ouyang, Qiangqiang; Yang, Wenjian; Wu, Yue; Xu, Zhongyuan; Hu, Yongjun; Hu, Ning; Zhang, Diming.
Afiliação
  • Ouyang Q; Research Center for Intelligent Sensing Systems, Zhejiang Laboratory, Hangzhou, 311100, China; First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, 510006, China.
  • Yang W; Research Center for Intelligent Sensing Systems, Zhejiang Laboratory, Hangzhou, 311100, China.
  • Wu Y; Research Center for Intelligent Sensing Systems, Zhejiang Laboratory, Hangzhou, 311100, China.
  • Xu Z; Research Center for Intelligent Sensing Systems, Zhejiang Laboratory, Hangzhou, 311100, China.
  • Hu Y; Institute of Artificial Intelligence and Blockchain, Guangzhou University, Guangzhou, 510006, China.
  • Hu N; ZJU-Hangzhou Global Scientific and Technological Innovation Center, Department of Chemistry, Zhejiang University, Hangzhou, 310058, China. Electronic address: huning@zju.edu.cn.
  • Zhang D; Research Center for Intelligent Sensing Systems, Zhejiang Laboratory, Hangzhou, 311100, China. Electronic address: zhangdm@zhejianglab.edu.cn.
Biosens Bioelectron ; 209: 114261, 2022 Aug 01.
Article em En | MEDLINE | ID: mdl-35429771
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Técnicas Biossensoriais / Miócitos Cardíacos Tipo de estudo: Prognostic_studies Idioma: En Revista: Biosens Bioelectron Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Técnicas Biossensoriais / Miócitos Cardíacos Tipo de estudo: Prognostic_studies Idioma: En Revista: Biosens Bioelectron Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China