Wearable AI forecasts prolonged sitting in women with chronic pelvic pain
A peer-reviewed modeling study found that personalized AI using Fitbit data forecast prolonged sedentary periods one hour ahead in women ...
A peer-reviewed modeling study found that personalized AI using Fitbit data forecast prolonged sedentary periods one hour ahead in women ...
A new analysis of nearly 9,000 women aged 75 to 105 in the Women's Health Initiative Strong and Healthy trial ...
A cross-sectional study of 126 Qatari schoolchildren found that physically active children scored markedly higher in mathematics and showed better ...
A cross-sectional study of 776 Chinese civil aviation flight students finds short sleep, less vigorous activity, and more sedentary time ...
For people living with Parkinson's disease, the slow erosion of everyday movement is one of the disease's quiet cruelties. Even ...
A school-based Italian initiative embedded short "moments of movement" into the daily routines of 118 schools and more than 61,000 ...
A study of 949 Spanish schoolchildren aged 9 to 15 links greater sleep problems with lower physical activity, fitness, quality ...
Mount Sinai researchers built a privacy-preserving, on-device forecasting system that uses simple linear models and Fitbit data to predict sedentary ...
A new study of 235 Arabic-speaking adults finds that sleep quality, but not physical activity or sleep duration, significantly predicts ...
A study of 7,098 US adults found that wrist-measured activity fragmentation, quantified by the active-to-sedentary transition probability, was associated with ...
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© 2026 Scienmag - Science Magazine