PreciDIAB

Clustering to improve the prediction of type 2 diabetes

This article comments on an original publication published in Nature Medicine in 2020 by Wagner et al. The authors have demonstrated the value of clustering a pre-diabetic population into six different groups to predict the onset of type 2 diabetes and its complications, and of implementing personalized care (even before the development of diabetes. ). In our commentary, we have shown the strengths and limitations of the methodology.This article comments on an original publication that appeared in Nature Medicine in 2020 by Wagner et al. The authors have demonstrated the value of clustering a pre-diabetic population into six different groups to predict the onset of type 2 diabetes and its complications, and of implementing personalized care (even before the development of diabetes. ). In our commentary, we have shown the strengths and limitations of the methodology.

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