Papers by Shuqiang Jiang

    1 papers
    From Prediction to Intervention: Personalized Meal-Level Glucose Regulation via an LLM Agent (2026.findings-acl)

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    Challenge: Existing approaches to individualized glucose regulation are generic and do not account for individual-specific glucose dynamics.
    Approach: They propose a physio-feedback agentic loop that integrates individualized absorption modeling with dietary intervention to regulate glucose response.
    Outcome: The proposed system improves prediction accuracy and reduces glucose excursions.

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