Heavy metal biomarkers and their impact on hearing loss risk: a machine learning framework analysis.

Journal: Frontiers in public health
PMID: 40308931

Abstract

BACKGROUND: Exposure to heavy metals has been implicated in adverse auditory health outcomes, yet the precise relationships between heavy metal biomarkers and hearing status remain underexplored. This study leverages a machine learning framework to investigate these associations, offering a novel approach to understanding the interplay between environmental exposures and hearing loss.

Authors

  • Ali Nabavi
    Student Research Committee, Shiraz University of Medical Sciences, Shiraz, Iran.
  • Mohammad Kashkooli
    Student Research Committee, Shiraz University of Medical Sciences, Shiraz, Iran.
  • Sara Sadat Nabavizadeh
    Department of Otolaryngology, Otolaryngology Research Center, Shiraz University of Medical Sciences, Shiraz, Iran.
  • Farimah Safari
    Student Research Committee, Shiraz University of Medical Sciences, Shiraz, Iran.

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