Scientists discover: your voice may reveal early signs of cancer

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Researchers are testing a new method that could detect throat cancer in its earliest stages – simply by analyzing the sound of your voice. Here are 10 key things you should know about this discovery.

Voice as a window to health

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Recent studies suggest that your voice may carry hidden signals about your health, far beyond what the human ear can hear.

Artificial intelligence at work

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By using AI, researchers can pick up on tiny variations in pitch, pauses, and noise that could indicate disease.

A proven tool for other conditions

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Voice analysis has already been used to detect autism, depression, Parkinson’s, and dementia – with surprisingly high accuracy.

Also read: This Is Why You Get Dark Spots – and How to Remove Them

From COVID-19 to cancer

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During the pandemic, scientists showed that a voice sample alone could identify COVID-19. Now, the same idea is being applied to cancer.

Focus on laryngeal cancer

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The breakthrough comes in the field of throat cancer, where subtle changes in vocal sound may reveal the disease in its earliest stages.

Male voices showed the strongest patterns

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The study found that men with cancer of the vocal cords shared a unique sound profile that clearly separated them from healthy individuals.

Harmony vs. noise

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The key factor was the ratio of harmonic sound to background noise – something inaudible to humans but easy for algorithms to detect.

Also read: These Activities Keep the Brain Young Throughout Life

A possible alternative to invasive tests

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Today, early screenings often involve unpleasant scopes and biopsies. A simple voice test could make the process faster and less invasive.

Earlier treatment options

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Spotting the disease sooner means treatment can begin earlier, which can greatly improve survival rates.

Clinical trials already underway

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Researchers are now expanding datasets and testing the system on both men and women, aiming to bring voice-based cancer screening into everyday healthcare.

This article is based on information from Illustreret Videnskab

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This article is made and published by Mie Hermansen, who may have used AI in the preparation.

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