Leveraging the Metabolic Fingerprint of Sleep Deprivation and Sleep Restriction for Forensic Applications: A Machine Learning Study in Oral Fluid Metabolomics.

Published in Journal of Proteome Research · View the paper (DOI)

Researchers identified molecular differences in saliva after a full night's rest and 24 hours without sleep, creating a potential non-invasive test for sleep deprivation. The 'sleepiness fingerprint' holds promise for roadside checks and other situations where accurate detection is needed.

Leveraging the Metabolic Fingerprint of Sleep Deprivation and Sleep Restriction for Forensic Applications: A Machine Learning Study in Oral Fluid Metabolomics.

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