For most of us, the hum of a refrigerator, the clatter of plates or a nearby conversation are just background noise. But for ...

Speech-based automatic approaches for evaluating neurological disorders (NDs) depend on feature extraction before the classification pipeline. It is preferable for these features to be interpretable ...

A new framework argues that human language did not arise from a single evolutionary leap but from the convergence of many biological abilities and cultural processes.

Two students from the University of Wyoming’s Division of Communication Disorders have been selected to present research posters at this year’s American Speech-Language-Hearing Association (ASHA) ...

The Centers for Disease Control and Prevention has made a change to its website that is being celebrated by vaccine skeptics.

Rare diseases reveal that our sense of identity rests on fragile biological infrastructure, much of it operating outside ...

Large language models can help improve questionnaires used to diagnose mental illness by optimizing symptom generalizability and reducing redundancy. They can even contribute to new conceptualizations ...

A new study published in the journal JMIR Mental Health by JMIR Publications highlights a critical risk in the growing use of ...

In their classic 1998 textbook on cognitive neuroscience, Michael Gazzaniga, Richard Ivry, and George Mangun made a sobering observation: there was no clear mapping between how we process language and ...

Understanding brain disorders is crucial for accurate clinical diagnosis and treatment. Recent advances in Multimodal Large Language Models (MLLMs) offer a promising approach to interpreting medical ...