Wearable sensors enable personalized predictions of clinical laboratory measurements

We studied how physiological data from consumer wearable devices can be used with machine learning to predict clinical laboratory measurements and support longitudinal health monitoring.

Jessilyn Dunn and Lukas Kidzinski contributed equally to this work.

Published in Nature Medicine, 27, 1105–1112 (2021). Read the published paper for the methods, findings, and limitations. An author manuscript is available through PubMed Central.