Google Research Introduces GlucoFM: A 0.72M-Parameter Dual-Stream Foundation Model for Continuous Glucose Monitoring

Summary

<p>Google Research and UNSW Sydney released GlucoFM, a self-supervised foundation model that splits a CGM trace into a slow physiological stream and a transient event stream instead of encoding it as one sequence. At 0.72M parameters it reached 58.8 task-averaged PR-AUC across 14 cohort–task evaluations, beating a 135M GluFormer and a 385M MOMENT. It remains a research prototype with no regulatory clearance.</p> <p>The post <a href="https://www.marktechpost.com/2026/08/26/google-research-introduces-glucofm-a-0-72m-parameter-dual-stream-foundation-model-for-continuous-glucose-monitoring/">Google Research Introduces GlucoFM: A 0.72M-Parameter Dual-Stream Foundation Model for Continuous Glucose Monitoring</a> appeared first on <a href="https://www.marktechpost.com">MarkTechPost</a>.</p>