News-Medical.Net June 23, 2025
Texas A&M University

Smartwatch features that measure heart rates, oxygen levels, fitness levels and sleep quality have been marketed as valuable tools for people who are eager to monitor their health.

But what if these features could do more than detect potential health issues – what if they could prevent potential health disasters such as pandemics?

Recent studies have demonstrated that smartwatches’ health apps and sensors provide enough information to accurately predict when a person has become infected with a disease like COVID-19 or the flu, even within as few as 12 hours after infection.

In a study published this March in PNAS Nexus, researchers at Texas A&M University and Stanford University used a computational model to estimate how smartwatch-based detection could...

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Topics: Digital Health, Healthcare System, Public Health / COVID, Technology, Wearables
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