This invention describes a system that helps manage a patient's physiological condition, such as blood glucose, by automatically adjusting the delivery of a fluid like insulin. It works by continuously monitoring the patient's condition and using current measurements alongside historical data to identify specific patterns, particularly the occurrence of a meal. Once a meal is detected, the system calculates a precise dose of fluid based on predicted characteristics of that meal and automatically delivers it.
Why it matters: Since 2020, advancements in machine learning have significantly improved real-time pattern recognition and predictive modeling from sensor data. This could enhance the accuracy of identifying event patterns and automatically calculating meal bolus dosages based on predicted meal attributes, which are central to this invention.
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