Researchers used gene‑expression patterns from a single hair‑follicle sample plus machine learning to infer a person’s current circadian phase. The method maps the activity of ~17 clock‑related genes to a time‑of‑day reading, potentially replacing slow, clinic‑bound protocols like serial melatonin sampling.
— If validated and scaled, this cheap, ambulatory circadian test could change how medicine times treatments, how employers schedule shift work, and how public health manages sleep‑related risks.
Jake Currie
2026.04.03
100% relevant
Proceedings of the National Academy of Sciences paper and study author Achim Kramer reporting measurement of 17 clock genes from a single hair sample analyzed with machine learning
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