AIMC Topic: Presbycusis

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A machine-learning-based approach to predict early hallmarks of progressive hearing loss.

Hearing research Jun 6, 2025
Machine learning (ML) techniques are increasingly being used to improve disease diagnosis and treatment. However, the application of these computational approaches to the early diagnosis of age-related hearing loss (ARHL), the most common sensory def...
Humans Machine Learning Phenotype Female Animals Male Disease Progression Mice Age Factors Disease Models, Animal Mice, Inbred C57BL Predictive Value of Tests Signal Processing, Computer-Assisted Cadherins Early Diagnosis Hearing Auditory Threshold Evoked Potentials, Auditory, Brain Stem Presbycusis
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Identifying a gene signature for age-related hearing loss through machine learning and revealing the effect of the CTSS on the mice cochlea.

Biogerontology Jun 3, 2025
Age-related hearing loss (ARHL) is one of the most common health conditions among the elderly population. This study used machine learning to screen for a gene signature to predicts ARHL. Four ARHL mice cochlear transcriptome datasets and the mRNA se...
Machine Learning Animals Male Aging Gene Expression Profiling Transcriptome Mice Mice, Inbred C57BL Cochlea Presbycusis
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A model of speech recognition for hearing-impaired listeners based on deep learning.

The Journal of the Acoustical Society of America Mar 1, 2022
Automatic speech recognition (ASR) has made major progress based on deep machine learning, which motivated the use of deep neural networks (DNNs) as perception models and specifically to predict human speech recognition (HSR). This study investigates...
Humans Deep Learning Speech Hearing Speech Perception Presbycusis
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