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Leveraging the Metabolic Fingerprint of Sleep Deprivation and Sleep Restriction for Forensic Applications: A Machine Learning Study in Oral Fluid Metabolomics
Did you know that even acute sleep loss leaves measurable biochemical traces in our bodies? In this episode, Dr. Michael Scholz of the University of Zurich explains how his team identified a metabolic fingerprint of sleep deprivation in oral fluid.
Participants followed real-world sleep schedules before driving in an immersive simulator. Machine learning then revealed a panel of metabolites that reliably signals sleep deprivation, with no baseline sample needed. The findings could open the way to the first objective test for sleep-impaired driving, and pilot studies are already underway on…
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