Scientists from the University of Surrey in England taught a neural network to calculate the body’s biological clock to create personalized sleep and meal plans. The results of the study were published in the journal. magazine PNAS.
The approach involves using blood samples to analyze blood metabolites to determine the timing of the human internal circadian system. Today, this is done by measuring the production time of melatonin, which is known as the regulator of the circadian rhythm of all living organisms. According to the scientists, their proposed method is comparable in efficiency to those currently available and may become even more accurate in the future.
The researchers took blood samples from 24 people. All participants were healthy, non-smoker, and had a sleep schedule for seven days before the study. The scientists measured more than 130 metabolic rhythms, which were then used by AI to predict circadian rhythms.
“Our research paves the way for truly personalized sleep and meal plans. If people follow them, this will lead to a reduction in the risks of serious illness associated with poor sleep and untimely eating,” the authors explain.
In the future, the team will continue to work on improving the neural network.