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Use of machine learning-based integration to develop a monocyte differentiation-related signature for improving prognosis in patients with sepsis.
Ning, Jingyuan; Sun, Keran; Wang, Xuan; Fan, Xiaoqing; Jia, Keqi; Cui, Jinlei; Ma, Cuiqing.
Affiliation
  • Ning J; Department of Immunology, Hebei Medical University, Shijiazhuang, People's Republic of China.
  • Sun K; Department of Immunology, Hebei Medical University, Shijiazhuang, People's Republic of China.
  • Wang X; Department of Immunology, Hebei Medical University, Shijiazhuang, People's Republic of China.
  • Fan X; Department of Laboratory, The Second Hospital of Hebei Medical University, Shijiazhuang, People's Republic of China.
  • Jia K; Department of Immunology, Hebei Medical University, Shijiazhuang, People's Republic of China.
  • Cui J; Department of Pathology, Shijiazhuang People's Hospital, Shijiazhuang, People's Republic of China.
  • Ma C; Department of Immunology, Hebei Medical University, Shijiazhuang, People's Republic of China.
Mol Med ; 29(1): 37, 2023 03 20.
Article in En | MEDLINE | ID: mdl-36941583
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Monocytes / Sepsis Type of study: Diagnostic_studies / Prognostic_studies / Screening_studies Limits: Humans Language: En Journal: Mol Med Journal subject: BIOLOGIA MOLECULAR Year: 2023 Document type: Article Country of publication: United kingdom
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Monocytes / Sepsis Type of study: Diagnostic_studies / Prognostic_studies / Screening_studies Limits: Humans Language: En Journal: Mol Med Journal subject: BIOLOGIA MOLECULAR Year: 2023 Document type: Article Country of publication: United kingdom