# GlucoFM: Foundation model for continuous glucose monitoring

DevFeed: [GlucoFM: Foundation model for continuous glucose monitoring](<https://devfeed.tech/articles/glucofm-foundation-model-for-continuous-glucose-monitoring-6793.md>)

Original publisher: [Read original article](<https://research.google/blog/glucofm-foundation-model-for-continuous-glucose-monitoring/>)

Published: 2026-08-26T18:42:43Z

Content type: article

Language: en

Sources: [The latest research from Google](<https://devfeed.tech/sources/the-latest-research-from-google.md>)

Topics: [foundation-models](<https://devfeed.tech/topics/foundation-models.md>), [Google](<https://devfeed.tech/topics/google.md>), [data](<https://devfeed.tech/topics/data.md>), [datasets](<https://devfeed.tech/topics/datasets.md>)

Tags: [data](<https://devfeed.tech/tags/data.md>), [foundation-models](<https://devfeed.tech/tags/foundation-models.md>), [google](<https://devfeed.tech/tags/google.md>), [health-bioscience](<https://devfeed.tech/tags/health-bioscience.md>), [machine-intelligence](<https://devfeed.tech/tags/machine-intelligence.md>), [model](<https://devfeed.tech/tags/model.md>), [research](<https://devfeed.tech/tags/research.md>)

## AI overview

GlucoFM is a lightweight, self-supervised foundation model for continuous glucose monitoring. Its dual-stream design separates slower glycemic trends from short-term deviations while preserving time-of-day and missingness information. Evaluated across four cohorts and seven clinical prediction tasks, it achieved higher average PR-AUC than the evaluated GluFormer variant.

## Source excerpt

Health & Bioscience