Drug-induced nephrotoxicity (DIN) is a major clinical challenge for a variety of marketed drugs belonging to various therapeutic areas. Successful clinical prevention of DIN requires prior knowledge of drug’s mechanism of action coupled with pathogenic mechanisms of renal injury as well as patient- and drug-related risk factors. Recently, significant innovative advances in the identification of novel early biomarkers for DIN have been made. However, they are not beyond limitations. In such scenarios, mathematical modeling and simulation (M&S) may be used as a robust tool to understand and predict DIN in a clinical setting. This presentation highlights some of the recent advancements in mathematical M&S approaches for DIN. An exemplar of the utility of multiscale and translational M&S for combinatorial effects of a DIN with a proposed preventive therapeutic will be showcased.

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