This Panel discussion will discuss the emerging findings from a recent study to demonstrate the feasibility of a novel machine learning approach to diabetes assessment. The CARDIGAN project aims to test whether criticality analysis of gait can be used as a fast, reliable and cost effective way to detect individuals at risk of developing type 2 diabetes mellitus (T2DM) among teenagers in Mexico.
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