An approach to solve the emerging need of prediction of the toxicity of mixtures of engineered nanoparticles (ENPs) is presented. The integration of classic approaches to mixture toxicity assessment and computational toxicology approaches is proposed to be a smart strategy for forecasting the toxicity of a mixture of ENPs.
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