Saturable Insulin Absorption Model for Automated Delivery
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Solution Overview
Problem
Automated insulin delivery systems face challenges in accurately determining insulin absorption rates, leading to potential over-delivery due to delays and the formation of insulin depots, which can result in increased risk of over-delivery and erroneous blood glucose readings.
Innovation Solution
A drug delivery system that calculates an aggregate insulin-on-board amount based on individual estimates, determines residual insulin amounts, and adjusts subsequent calculations to account for saturated absorption rates, thereby optimizing insulin delivery rates and preventing over-delivery.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If insulin delivery is increased to compensate for absorption delays, then blood glucose control is improved, but the risk of over-delivery increases due to saturated absorption rates and insulin depot formation
Solution Approach 1:
The patent changes the absorption rate parameter from a constant or linearly increasing function to a saturable function that accounts for maximum absorption capacity. The model parameters (maximum absorption rate, saturation constant) are adjusted based on insulin-on-board amounts to reflect physiological saturation, preventing over-delivery while maintaining effective glucose control.
Solution Approach 2:
The system implements feedback by continuously monitoring insulin-on-board amounts and using this information to adjust subsequent insulin delivery decisions. The saturable absorption model provides feedback on the actual insulin utilization rate, allowing the closed-loop system to adapt delivery rates and avoid over-correction.
2Productivity
If the insulin absorption rate is assumed to increase indefinitely, then insulin utilization is maximized, but insulin depot formation occurs leading to delayed and unpredictable absorption
Solution Approach 1:
The patent introduces parameter changes by implementing a saturable absorption model where the absorption rate parameter transitions from unlimited growth to a capped value. The model uses parameters such as maximum absorption rate and saturation constants to describe the transition from linear to plateaued absorption kinetics, preventing depot formation while maximizing utilization within physiological limits.
3Ease of operation
If traditional insulin-on-board heuristics are used, then the system is simple to operate, but accuracy is reduced due to failure to account for saturated absorption rates
Solution Approach 1:
The patent improves measurement precision by changing the mathematical parameters from simple linear decay to saturable absorption kinetics. The model incorporates parameters for maximum absorption rate and saturation constants, transforming the calculation from a crude heuristic to a physiologically accurate model while maintaining automated computation.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system provides a more accurate insulin delivery rate by accounting for saturated absorption, reducing the risk of over-delivery and improving the reliability of blood glucose monitoring.
Implementation Method 1
This approximated heuristic does not consider the possibility of a saturated rate of absorption
Data Source
AI summary
A drug delivery system including a memory storing programming code operable to enable delivery of insulin and a processor operable to execute the programming code. When executed, the programming code causes the processor to: calculate a first aggregate insulin-on-board amount for a user based on a plurality of individual insulin-on-board estimates made over a first period of time, determine that the first aggregate insulin-on-board amount is greater than a maximum depot formation threshold amount, determine a first residual amount of insulin remaining in the first aggregate insulin-on-board amount, increase a subsequent calculation of an individual insulin-on-board estimate based on the first residual amount of insulin, and utilize the subsequent calculation of the individual insulin-on-board estimate in a calculation of a second aggregate insulin-on-board amount over a second period of time.


