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Algorithm predicts patients at risk for chronic kidney disease

January 10, 2019

Roche and IBM have developed an algorithm based on real-word data, including electronic health records, that predicts patients with early risk of diabetes-related chronic kidney disease.

The Roche-IBM predictive algorithm—trained using half a million electronic health records—outperformed published algorithms derived from clinical trial data in a one-to-one comparison, as well as in cohort studies.

Results of the research, published this week in the journal Nature Medicine, were based on a year-long collaboration between Roche (the study lead), IBM, Eli Lilly, the Regenstrief Institute and the Indiana Bioscience Research Institute.

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