Precise Segmentation of U.S. Adults from 24-Hour Wearable-based Physical Activity Profiles Using Machine Learning Clustering. - Jinjoo Shim; Elgar Fleisch; Filipe Barata (ICHI, 2023)

XGBAge: Prediction and Identification of Factors Influencing Biological Age Using Wearable Accelerometer Data. - Jinjoo Shim; Elgar Fleisch; Filipe Barata (EMBC, 2024)

Circadian rhythm analysis using wearable-based accelerometry as a digital biomarker of aging and healthspan. - Jinjoo Shim; Elgar Fleisch; Filipe Barata (npj Digit. Medicine, 2024)

Comparative Efficacy of Commercial Wearables for Circadian Rhythm Home Monitoring From Activity, Heart Rate, and Core Body Temperature. - Fan Wu 019; Patrick Langer; Jinjoo Shim; Elgar Fleisch; Filipe Barata (IEEE J. Biomed. Health Informatics, 2025)