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This suite of software modules uses personalization and the duality between input dynamics and system structure to predict how food or activity will affect blood glucose (and insulin, weight gain/loss, or energy) over time. One of the expert software modules provides blood glucose time course simulators for helping medical practitioners prescribe the insulin regimen in diabetes.

The TAG_Angels™ image below is the Patient Interface Screen for our predictive software for contemporaneous metabolic control in diabetes. The TAG_Angels™ are software agents within our Web-Based, Individual-Specific Interactive Health Management system. Basically, we fine-tune an individual-specific metabolic model while taking into account the input dynamics: When it has converged sufficiently, we can generate real time predictions usable for proactive, preventative control. This Company appears to be the first to implement a practical solution to this problem. Our patented technology uses the duality between the input dynamics and the actual system structure - a defining characteristic of a certain class of stable feed-forward systems.

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