Mistry, PriteshNeagu, DanielSanchez-Ruiz, A.Trundle, Paul R.Vessey, J.D.Gosling, J.P.2016-11-012016-11-012017Mistry P, Neagu D, Sanchez-Ruiz A et al (2017) Prediction of the effect of formulation on the toxicity of chemicals. Toxicology Research. 6(1): 42-53.http://hdl.handle.net/10454/10169YesTwo approaches for the prediction of which of two vehicles will result in lower toxicity for anticancer agents are presented. Machine-learning models are developed using decision tree, random forest and partial least squares methodologies and statistical evidence is presented to demonstrate that they represent valid models. Separately, a clustering method is presented that allows the ordering of vehicles by the toxicity they show for chemically-related compounds.en© 2016 The Authors. This is an Open Access article licensed under the Creative Commons CC-BY license (http://creativecommons.org/licenses/by/3.0/)ToxicityAnticancer agentsArticlehttps://doi.org/10.1039/C6TX00303FCC-BY