Using Venn-Abers predictors to assess cardio-vascular risk

This study investigates a method for predicting compound risk based on in vitro assay data and estimated Cmax, the maximum concentration of a drug in the body. The method makes use of Venn-Abers predictors and Support Vector Machines to compute compound risk with respect to a biological target. The method has been applied to in vitro ion-channel data generated to assess cardiac risk and introduces a more intuitive way to reflect cardiac risk.