Article

Fine-Tuning LLMs for Real-Time Fuzzy Insulin Control in Type I Diabetes

2026-04-20

Abstract excerpt

The paper propose a novel fine-tuning framework that adapts a large language model (LLM) to real-time fuzzy insulin control for type 1 diabetes mellitus (T1DM). The method combines a Hovorka-based glucose-insulin model, fuzzy membership encoding of glucose and insulin states, and a causal language model trained through low-rank adaptation to map recent physiological history to insulin dosing decisions. The central...

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Literature Corpus work: f3782958-59c7-52c5-9a4d-75a2375ef197
DOI: 10.20944/preprints202604.1316.v1

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