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A Hybrid ODE-Neural Network Framework for Modeling and Guiding GLP-1-Mediated Glucose Dynamics

2025-01-30

Abstract excerpt

<title>Abstract</title> <p>Accurate modeling of glucose dynamics in response to Glucagon-like peptide-1 (GLP-1) is essential for understanding metabolic regulation and optimizing therapeutic interventions for diabetes and obesity. Traditional mechanistic models often oversimplify the relationship between GLP-1 and glucose by neglecting complex intermediary variables such as insulin, glucagon, and free fatty acids...

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Literature Corpus work
fe4019f4-3360-5017-a897-bffa2d3c29c4
DOI
10.21203/rs.3.rs-5912837/v1
Open publication

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A Hybrid ODE-Neural Network Framework for Modeling and Guiding GLP-1-Mediated Glucose DynamicsDOI 10.21203/rs.3.rs-5912837/v1
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