Stevens Researchers Put Glycemic Response Modeling On a Data Diet
In a paper in the Journal of Diabetes Science and Technology, researchers at Stevens Institute of Technology offer a new approach: a data-sparse model capable of accurately predicting individual glycemic responses with no need for blood draws, stool samples, or other unpleasant testing. The key to their approach? Keeping track of what people actually eat.
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