Google 推出多智能体框架，从可穿戴数据中筛选生物标志物
原标题：An AI tool for prioritizing candidate biomarkers from wearable sensor data
AI 摘要
Google Research 推出 Biomarker Discovery Framework，一个多智能体系统，用于从可穿戴传感器数据中优先筛选候选生物标志物。该系统通过迭代假设生成、统计分析和文献推理，在三个队列（共 9,279 名参与者）中识别出 41 个心理健康和 25 个代谢疾病的候选数字生物标志物，并改善了预测性能。在盲评中，该系统在七个质量维度上均获得最高分，优于其他 AI 研究系统。
正文节选
August 21, 2026 Yubin Kim, Student Researcher We introduce the Biomarker Discovery Framework, a multi-agent system that supports the discovery of biomarker candidates from wearable sensor data through iterative hypothesis generation, statistical analysis, and literature-grounded reasoning. Wearable devices capture continuous physiological signals at population scale. These streams, ranging from heart rate dynamics to sleep patterns, can reveal early physiological changes before symptoms appear.