MicroRNA Profiling as a Methodology to Diagnose Ménière's Disease: Potential Application of Machine Learning.

Journal: Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery
PMID: 32663060

Abstract

OBJECTIVE: Diagnosis and treatment of Ménière's disease remains a significant challenge because of our inability to understand what is occurring on a molecular level. MicroRNA (miRNA) perilymph profiling is a safe methodology and may serve as a "liquid biopsy" equivalent. We used machine learning (ML) to evaluate miRNA expression profiles of various inner ear pathologies to predict diagnosis of Ménière's disease.

Authors

  • Matthew Shew
    1 Department of Otolaryngology-Head and Neck Surgery, School of Medicine, University of Kansas, Kansas City, Kansas, USA.
  • Helena Wichova
    University of Kansas School of Medicine, Department of Otolaryngology-Head and Neck Surgery, Kansas City, KS, USA.
  • Andrés Bur
    Department of Otolaryngology-Head and Neck Surgery, University of Kansas Medical Centre, Kansas City, Kansas, USA.
  • Devin C Koestler
    University of Kansas School of Medicine, Department of Biostatistics, Kansas City, KS, USA.
  • Madeleine St Peter
    School of Medicine, University of Kansas, Kansas City, Kansas, USA.
  • Athanasia Warnecke
    Department of Otorhinolaryngology, Hannover Medical School, Hannover, Germany.
  • Hinrich Staecker
    University of Kansas School of Medicine, Department of Otolaryngology-Head and Neck Surgery, Kansas City, KS, USA.

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