Javier L. Prieto
ORCID iDJavier L. Prieto has 1 paper in the ChatPPG research atlas (2026) and 16 co-authors in the atlas. Main topics: wearable-biomarker, metabolic-health, insulin-resistance, ppg, accelerometer, skin-temperature.
Papers
- Insulin Resistance Prediction from Wearables and Routine Blood Biomarkers2026 · Nature 2026
The WEAR-ME study, published in Nature, predicted insulin resistance in 1,165 remote participants using wearable time series and routine blood tests, with HOMA-IR as ground truth. The multimodal model reached AUROC 0.80, and a wearable foundation model pretrained on 40 million hours of sensor data added value. In a separate cohort of 72, adding wearable features to demographics, fasting glucose and lipids raised AUROC from 0.76 to 0.88.
- Published: Nature, 2026
- Cohort: 1,165 participants (+72 validation)
- Signals: wearable time series + blood biomarkers