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Artificial intelligence-aided rapid and accurate identification of clinical fungal infections by single-cell Raman spectroscopy.
Xu, Jiabao; Luo, Yanjun; Wang, Jingkai; Tu, Weiming; Yi, Xiaofei; Xu, Xiaogang; Song, Yizhi; Tang, Yuguo; Hua, Xiaoting; Yu, Yunsong; Yin, Huabing; Yang, Qiwen; Huang, Wei E.
Afiliación
  • Xu J; Department of Engineering Science, University of Oxford, Oxford, United Kingdom.
  • Luo Y; Shanghai Hesen Biotech Co., Shanghai, China.
  • Wang J; Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, China.
  • Tu W; Department of Engineering Science, University of Oxford, Oxford, United Kingdom.
  • Yi X; Institute of Antibiotics, Huashan Hospital, Fudan University, Shanghai, China.
  • Xu X; National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China.
  • Song Y; Institute of Antibiotics, Huashan Hospital, Fudan University, Shanghai, China.
  • Tang Y; National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China.
  • Hua X; Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, China.
  • Yu Y; Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, China.
  • Yin H; Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China.
  • Yang Q; Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China.
  • Huang WE; James Watt School of Engineering, University of Glasgow, Glasgow, United Kingdom.
Front Microbiol ; 14: 1125676, 2023.
Article en En | MEDLINE | ID: mdl-37032865
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Guideline Idioma: En Revista: Front Microbiol Año: 2023 Tipo del documento: Article País de afiliación: Reino Unido Pais de publicación: Suiza
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Guideline Idioma: En Revista: Front Microbiol Año: 2023 Tipo del documento: Article País de afiliación: Reino Unido Pais de publicación: Suiza