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Google Research and UNSW Sydney released GlucoFM, a 0.72M-parameter self-supervised foundation model for continuous glucose monitoring. It splits glucose traces into slow state and transient event streams, reaching 58.8 task-averaged PR-AUC across 14 evaluations versus 54.7 for the strongest CGM-specific baseline.
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