Patient-Specific Glucose Simulation for Fat-Aware Insulin Dosing

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Solution Overview

Problem

Existing glucose management systems for diabetes patients fail to accurately account for the impact of macronutrients other than carbohydrates, such as protein and fat, on postprandial glucose levels, leading to inadequate insulin dosage determination.

Innovation Solution

A patient-specific physiological simulator is used to predict glucose absorption based on the fat and protein content of meals, adjusting insulin dosages accordingly to manage glucose levels more accurately.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If insulin dosage is determined based only on carbohydrate content, then the system is simple and easy to operate, but the accuracy of glucose level prediction is insufficient

Engineering Contradiction:

Improveglucose level prediction accuracyVSAvoidsystem complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The patent segments the macronutrient analysis into distinct components: carbohydrate content, protein content, and fat content are separately obtained and processed. Each macronutrient type is analyzed independently to determine its specific impact on glucose levels, allowing for more accurate predictions without overwhelming system complexity.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent changes the parameters used for insulin dosage calculation by incorporating multiple macronutrient parameters (carbohydrate amount, protein amount, fat amount) instead of relying solely on carbohydrate content. This multi-parameter approach enables more precise glucose level prediction while maintaining system manageability through structured parameter processing.

Inventive Principle:

Principle #35Parameter changes

2Measurement precision

If macronutrient content is obtained through detailed analysis, then the accuracy of insulin dosage determination improves, but the time and complexity of the process increases

Engineering Contradiction:

Improveinsulin dosage determination accuracyVSAvoidmeal processing time

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The patent implements preliminary action by pre-obtaining and storing macronutrient content information for meals, either through user input, device sensors, or pre-programmed meal databases. This preliminary data collection allows the system to quickly retrieve and process nutritional information when needed, reducing the time required during actual meal processing while maintaining high accuracy in insulin dosage determination.

Inventive Principle:

Principle #10Preliminary action

Data Source

PatentUS20250303066A1Glucose level management based on fat content of meals

Publication Date: 2025.10.02 MEDTRONIC MINIMED INC

AI summary

Techniques for glucose level management are disclosed. In some examples, the techniques may involve obtaining a macronutrient content associated with a meal, wherein the macronutrient content includes a first macronutrient and a second macronutrient. The techniques may further involve predicting, using a patient-specific physiological simulator that utilizes the macronutrient content, glucose amounts to be absorbed into a bloodstream of a patient as a result of consumption of the meal, wherein the patient-specific physiological simulator is configured to account for a difference in glucose level rise due to consumption of the first macronutrient compared to consumption of the second macronutrient. The techniques may further involve determining, using the patient-specific physiological simulator, a dosage of insulin to deliver to the patient based on the glucose amounts to be absorbed into the bloodstream.