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

Eike Elfert¹, Wolfgang E Kaminski^1,2, Christian Matek³, Gregor Hoermann⁴, Eyvind W Axelsen^5,6, Carsten Marr³, Armin P Piehler^4,5

¹Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany.

²Ingenium Digital Diagnostics GmbH, Frankfurt, Germany.

³Institute of AI for Health, Helmholtz Munich - German Research Center for Environmental Health, Neuherberg, Germany.

⁴535021 MLL Munich Leukemia Laboratory , Munich, Germany.

⁵Fürst Medical Laboratory, Oslo, Norway.

⁶Department of Informatics, University of Oslo, Oslo, Norway.

PubMed PMC DOI PDF

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 we…

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