The impact of sound on early detection of laryngeal cancer
Year: 2025
Type: article
Abstract: This study introduces a scientifically grounded, ISO-compliant framework for early and non-invasive detection of laryngeal cancer. By integrating acoustic voice analysis with genetic biomarker evaluation and adhering to international ISO standards, we propose a multi-modal diagnostic model with strong clinical potential. Voice samples were collected under standardized conditions, and genetic data were extracted from saliva. Machine learning algorithms, validated according to ISO/IEC quality protocols, were employed to analyze the combined dataset, achieving high diagnostic accuracy.
Author: Mohammad hossein Taheri, soheil
Language: English
Topic: Voice and Speech Disorders
Subfield: Physiology
Field: Medicine
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W6893235899
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