Sleep Better, Live Better: Machine-Learning Method Can Predict Your Body Clock (Image credit- Neuroscience News)
Do you have trouble falling asleep at night due to body clock issues? Fear not, though, as researchers from the Universities of Surrey and Groningen may have discovered a remedy that could assist you in getting your sleep routine back on track.
With the aid of their ground-breaking study, these professionals have created a cutting-edge machine-learning technique that may assist you in better understanding your internal body clock and helping you decide when to go to sleep and for how long.
Approach Using Targeted Metabolomics
A week before their visit to the University clinical research facility, the researchers took blood samples from 24 healthy people, including 12 men and 12 women, who had regular sleeping patterns. They used a targeted metabolomics approach to do this.
The team used a machine learning program to predict circadian timing by analyzing metabolites in blood, a more practical and minimally invasive method than the conventional method of measuring the natural melatonin rhythm, specifically the dim light melatonin onset (DLMO). They measured more than 130 metabolite rhythms in total.
The traditional method for assessing the timing of the circadian clock up until recently was to measure the natural melatonin rhythm, more precisely, DLMO. In contrast to the current tools, the most recent method is more convenient and needs fewer samples.
According to Professor Debra Skene, co-author of the study from the University of Surrey, after taking two blood samples from each subject, the machine learning method accurately predicted DLMO with equivalent or even better accuracy than prior methods.
The potential for the new strategy to enable individualized sleep and meal schedules based on individual biology and to lower the risks of serious illness connected to inadequate sleep and improper diet has researchers cautiously optimistic.
Advice for Better Sleep Patterns
“Smart devices and wearables offer helpful guidance on sleep patterns-but our research opens the way to truly personalized sleep and meal plans aligned to our personal biology,” Professor Skene stated in a press release.
The University of Groningen’s Professor Roelof Hut, a co-author of the study, noted that “Our results could help to develop an affordable way to estimate our own circadian rhythms that will optimize the timing of behaviors, diagnostic sampling, and treatment.”
Therefore, if you’ve been having trouble sleeping, this new machine-learning technique might be just what you need to reset your body clock. All it might take to get a decent night’s sleep is a quick blood test and a customized sleep schedule, not counting sheep or drinking warm milk. Who doesn’t enjoy a restful night’s sleep?
Also read: Oura Smart Ring Can Now Figure Out if You Are a Morning Person or a Night Owl
In the Proceedings of the National Academy of Sciences, a research titled “Machine learning estimation of human body time using metabolomic profiling” was released.