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Article

Identification of sensorineural hearing loss subtypes using unsupervised machine learning and assessment of their replicability.

Scientific reports - 20 Jan 2026

Dimitrov Lilia, Lilaonitkul Watjana, Mehta Nishchay

Abstract excerpt

Despite nearly 20% of the global population experiencing hearing loss, there remains limited insight into the underlying subtypes of its most prevalent cause, sensorineural hearing loss (SNHL). This understanding is crucial for effective therapeutic and preventative strategies. A recent study using a Gaussian Mixture Model (GMM) identified 10 distinct SNHL phenotypes in a large US cohort, highlighting the...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 41554819
DOI: 10.1038/s41598-025-33815-9
PMCID: PMC12852672

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026.

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