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SERS spectroscopy with machine learning to analyze human plasma derived sEVs for coronary artery disease diagnosis and prognosis.
Huang, Xi; Liu, Bo; Guo, Shenghan; Guo, Weihong; Liao, Ke; Hu, Guoku; Shi, Wen; Kuss, Mitchell; Duryee, Michael J; Anderson, Daniel R; Lu, Yongfeng; Duan, Bin.
Afiliação
  • Huang X; Department of Electrical and Computer Engineering University of Nebraska Lincoln Lincoln Nebraska USA.
  • Liu B; Mary & Dick Holland Regenerative Medicine Program University of Nebraska Medical Center Omaha Nebraska USA.
  • Guo S; Division of Cardiovascular Medicine, Department of Internal Medicine University of Nebraska Medical Center Omaha Nebraska USA.
  • Guo W; Department of Industrial and Systems Engineering Rutgers, The State University of New Jersey Piscataway New Jersey USA.
  • Liao K; School of Manufacturing Systems and Networks Arizona State University Mesa Arizona USA.
  • Hu G; Department of Industrial and Systems Engineering Rutgers, The State University of New Jersey Piscataway New Jersey USA.
  • Shi W; Department of Pharmacology and Experimental Neuroscience University of Nebraska Medical Center Omaha Nebraska USA.
  • Kuss M; Department of Pharmacology and Experimental Neuroscience University of Nebraska Medical Center Omaha Nebraska USA.
  • Duryee MJ; Mary & Dick Holland Regenerative Medicine Program University of Nebraska Medical Center Omaha Nebraska USA.
  • Anderson DR; Division of Cardiovascular Medicine, Department of Internal Medicine University of Nebraska Medical Center Omaha Nebraska USA.
  • Lu Y; Mary & Dick Holland Regenerative Medicine Program University of Nebraska Medical Center Omaha Nebraska USA.
  • Duan B; Division of Cardiovascular Medicine, Department of Internal Medicine University of Nebraska Medical Center Omaha Nebraska USA.
Bioeng Transl Med ; 8(2): e10420, 2023 Mar.
Article em En | MEDLINE | ID: mdl-36925713
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies / Screening_studies Idioma: En Revista: Bioeng Transl Med 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 Tipo de estudo: Diagnostic_studies / Prognostic_studies / Screening_studies Idioma: En Revista: Bioeng Transl Med Ano de publicação: 2023 Tipo de documento: Article