GlucoFM: a glucose-stream foundation model that flags diabetes risk with scarce labels
Google's new self-supervised model for continuous glucose monitor data splits slow glycemic trends from short-term deviations, then trains on 109,066 hours of unlabeled CGM readings. Across seven clinical tasks and four cohorts, GlucoFM beat the best GluFormer variant by 5.8 PR-AUC points on average and led every diabetes-risk and beta-cell-dysfunction evaluation. The pitch: daily glucose traces can estimate insulin resistance and diabetes risk even when clinical labels are scarce.