If Only My CGM Could Speak: A Privacy-Preserving Agent for Question Answering over Continuous Glucose Data (2026.findings-acl)
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| Challenge: | Current patient platforms only offer static summaries which do not support inquisitive user queries. |
| Approach: | They propose a framework for question answering over personal glucose data that uses large language models to provide a reasoning engine that selects analytical functions. |
| Outcome: | The proposed framework achieves 94% value accuracy on synthetic queries and 88% on ambiguous real-world queries. |
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