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Doha – March 26, 2025: Researchers at Weill Cornell Medicine-Qatar (WCM-Q) have published a study that utilized large language models and data from wearable smart devices to generate personalized recommendations to enhance the wellbeing and academic performance for a group of school students.
The research, led by Dr. Arfan Ahmed, assistant professor of research in population health sciences, collected data from 12 students from academic reports (grades and teachers’ observations), sleep quality surveys, and wearable Fitbit devices which recorded activity levels (step counts), sleep minutes and stress scores.
A large language model (
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