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Journal of Biological Rhythms|June 23, 2023
Impact of Light Schedules and Model Parameters on the Circadian Outcomes of IndividualsCaleb Mayer, Olivia Walch, Daniel B Forger, et al.
Journal of Biological Rhythms|November 18, 2024
The Combination of Topological Data Analysis and Mathematical Modeling Improves Sleep Stage Prediction From Consumer-Grade WearablesMinki P Lee, Dae Wook Kim, Caleb Mayer, et al.
Journal of the Royal Society, Interface|August 23, 2023
Efficient assessment of real-world dynamics of circadian rhythms in heart rate and body temperature from wearable dataDae Wook Kim, Caleb Mayer, Minki P Lee, et al.
Arxiv|July 3, 2026
MetaboNet-Bench: A Multi-modal Benchmark for Glucose Forecasting in Type 1 DiabetesNathaniel Jeffries, Miriam Wolff, Sam Royston, et al.
Journal of Sleep Research|December 8, 2024
Predicting circadian phase in community-dwelling later-life adults using actigraphy dataCaleb Mayer, Dae Wook Kim, Meina Zhang, et al.
Frontiers in Digital Health|December 6, 2021
Distinct Circadian Assessments From Wearable Data Reveal Social Distancing Promoted Internal Desynchrony Between Circadian MarkersYitong Huang, Caleb Mayer, Olivia J Walch, et al.
Cell Reports. Medicine|April 28, 2022
Consumer-grade wearables identify changes in multiple physiological systems during COVID-19 disease progressionCaleb Mayer, Jonathan Tyler, Yu Fang, et al.
Sleep|May 20, 2021
Predicting circadian phase across populations: a comparison of mathematical models and wearable devicesYitong Huang, Caleb Mayer, Philip Cheng, et al.
Medrxiv : the Preprint Server for Health Sciences|September 16, 2024
Lifestyle Profiling Using Wearables and Prediction of Glucose Metabolism in Individuals with Normoglycemia or PrediabetesHeyjun Park, Ahmed A Metwally, Alireza Delfarah, et al.
Sleep|September 12, 2020
Predicting circadian misalignment with wearable technology: validation of wrist-worn actigraphy and photometry in night shift workersPhilip Cheng, Olivia Walch, Yitong Huang, et al.
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