Google 发布 GlucoFM：面向连续血糖监测的基础模型
原标题：GlucoFM: Foundation model for continuous glucose monitoring
AI 摘要
Google Research 发布了 GlucoFM，一种用于连续血糖监测（CGM）数据的轻量级自监督基础模型。该模型采用双流设计，分别建模缓慢血糖趋势和短期偏差，在糖尿病风险、胰岛素抵抗等多项代谢预测任务中超越了现有模型（如 GluFormer），并在餐后血糖反应预测中取得最低平均绝对误差。模型在 109,066 小时的未标记 CGM 数据上预训练，展现出强大的跨数据集迁移和少样本适应能力。
正文节选
August 26, 2026 Ahmed A. Metwally, Staff Research Scientist, and Zechen Li, Student Researcher, Google Research GlucoFM is a lightweight, self-supervised CGM foundation model that models slower glucose trends and short-term deviations in separate streams, producing transferable representations and setting new performance standards across diverse metabolic prediction tasks, including diabetes risk assessment, insulin resistance, beta-cell dysfunction, and post-prandial glycemic response. Consumer