从预测到干预：基于大语言模型智能体的个性化餐级血糖调节
From Prediction to Intervention: Personalized Meal-Level Glucose Regulation via an LLM Agent
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中文总结 AI 辅助
针对精准营养中个性化血糖调节的挑战，提出融合生理学习与LLM智能体的系统，通过生理感知预测器和预测驱动优化智能体提升血糖预测准确率并降低血糖波动。
中文摘要 AI 辅助
个性化血糖调节仍是精准营养领域核心但未解决的挑战，因为餐后血糖反应在个体间存在显著差异。现有基于血糖指数的方法无法充分考虑这种异质性，且缺乏基于个人生理反馈动态调整餐食的机制。在此背景下，基于大语言模型（LLM）的智能体的最新进展提供了有前景的方向，因为它们支持上下文感知推理与迭代优化。受此启发，我们提出生理反馈智能体循环系统，这是一个将个性化吸收建模与饮食干预相结合以调节血糖反应的统一系统。具体而言，我们开发生理感知血糖预测器，通过可学习的时间生理吸收衰减模块对个性化吸收动态进行建模。随后，我们构建预测驱动的两阶段餐食优化智能体，使用预测结果作为明确反馈迭代优化实际餐食。通过在多个公开数据集上进行的大量实验，我们证明我们的方法不仅提高了预测准确率，还有效降低了血糖波动。据我们所知，本文标志着将生理学习与基于LLM的智能体相结合用于个性化血糖调节的第一步。
英文摘要
Personalized glucose regulation remains a central yet unresolved challenge in precision nutrition, as postprandial glucose response varies substantially across individuals. Existing approaches based on glycemic indices fail to adequately account for such heterogeneity and lack the mechanism to dynamically adjust meals based on personal physiological feedback. In this context, recent advances in LLM-based agents offer a promising direction, as they enable context-aware reasoning and iterative refinement. Inspired by this, we propose a physio-feedback agentic loop, a unified system that integrates individualized absorption modeling with dietary intervention to regulate glucose response. Specifically, we develop a Physiology-Aware Glucose Predictor to model individualized absorption dynamics through a learnable Temporal Physiological Absorption Decay Module. We then construct a Prediction-Driven Two-Stage Meal Optimization Agent that iteratively refines real-world meals using predicted outcomes as explicit feedback. Through extensive experiments on multiple public datasets, we demonstrate that our method not only improves prediction accuracy but also effectively reduces glucose excursions. To the best of our knowledge, this paper marks the first step in integrating physiological learning with an LLM-based agent for personalized glucose regulation.
发表机构
- Institute of Computing Technology, Chinese Academy of Sciences（中国科学院计算技术研究所）
- University of Chinese Academy of Sciences（中国科学院大学）
- School of Advanced Interdisciplinary Sciences, University of Chinese Academy of Sciences（中国科学院大学先进交叉科学学院）
机构由 AI 辅助整理，请以论文原文为准。
