Meal-detection technology brings 'artificial pancreas' one step closer to reality

A.I. researchers at Stevens Institute of Technology have developed a system that can detect when a person is eating and calculate how many carbohydrates they are consuming with unprecedented accuracy and speed. The work provides a significant advance for people who wear continuous glucose monitors as part of their diabetes treatment, allowing insulin to be administered closer to the time when it’s actually needed, reducing dangerous swings in blood glucose levels.

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