Complex System Modeling: Insulin-Glucose Dynamics

Project Overview

Developed a comprehensive dynamic systems model to examine how different lifestyle choices impact insulin requirements for maintaining target glucose levels in diabetic individuals. Using Vensim simulation software, the project models two contrasting scenarios: controlled diet with regular exercise versus varied meal sizes with sedentary lifestyle. The model captures glucose and insulin dynamics over time, demonstrating how consistent carbohydrate intake combined with regular physical activity affects glucose clearance and insulin sensitivity. In contrast, the erratic eating patterns and lack of exercise scenario shows increased glucose fluctuations requiring higher or more frequent insulin doses. The simulation quantifies insulin needs across scenarios, analyzing glucose peaks post-meal and necessary dosage adjustments to maintain target glucose ranges. Findings demonstrate that structured lifestyle with regular exercise can significantly reduce insulin needs and improve glucose management, highlighting the importance of personalized insulin strategies based on lifestyle factors.

Key Features

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  Dynamic glucose-insulin modeling with Vensim
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  Lifestyle scenario comparison analysis
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  Exercise impact on insulin sensitivity modeling
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  Meal variability effects simulation
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  Glucose peak and valley prediction
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  Insulin dosage optimization algorithms
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  Target glucose range maintenance strategies
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  Personalized insulin management insights

Technical Challenges

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  Modeling complex physiological interactions accurately
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  Capturing lifestyle variability in mathematical models
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  Balancing model complexity with practical insights
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  Validating simulation results against clinical expectations