Expert-level detection of M-proteins in serum protein electrophoresis using machine learning.

Journal: Clinical chemistry and laboratory medicine
PMID: 38879789

Abstract

OBJECTIVES: Serum protein electrophoresis (SPE) in combination with immunotyping (IMT) is the diagnostic standard for detecting monoclonal proteins (M-proteins). However, interpretation of SPE and IMT is weakly standardized, time consuming and investigator dependent. Here, we present five machine learning (ML) approaches for automated detection of M-proteins on SPE on an unprecedented large and well-curated data set and compare the performance with that of laboratory experts.

Authors

  • Eike Elfert
    Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany.
  • Wolfgang E Kaminski
    Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany.
  • Christian Matek
    Institute of Computational Biology, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany.
  • Gregor Hoermann
    535021 MLL Munich Leukemia Laboratory , Munich, Germany.
  • Eyvind W Axelsen
    Fürst Medical Laboratory, Oslo, Norway.
  • Carsten Marr
    Institute of Computational Biology, Helmholtz Zentrum München - German Research Center for Environmental Health, 85764 Neuherberg, Germany.
  • Armin P Piehler
    535021 MLL Munich Leukemia Laboratory , Munich, Germany.

Keywords

External Resources

Popular Topics
Recent Journals