GlucoFM: A Dual-Stream Foundation Model for Continuous Glucose Monitoring
- Published
- Source
- arXiv
- Paper number
- 282
- Field
- Machine Learning
- arXiv ID
- 2605.30865
Key points
- Across four diverse cohorts and seven clinical prediction tasks, GlucoFM achieves the strongest subject-separation linear probing performance among evaluated baselines and improves average PR-AUC by 4.1 points over the best CGM-specific foundation model.
- The gains are most pronounced on core metabolic outcomes, where it leads PR-AUC on all diabetes risk and beta-cell dysfunction tasks and on 3 of 4 insulin resistance tasks.
Paper links
External research summaries. These are not HDATF publications or measured product results.