Furthermore, a recent review by Vall et al. described the potential of artificial intelligence (AI) methods to predict liver injuries emphasizing that the combination of chemical structures, gene expression, in vitro, in vivo, and imaging assays could be used to decode the side effects of drugs . These recent findings encourage the development of novel methodologies to simultaneously study a large diversity of data to predict DILI events. The next logical question is, "what kind of data and what type of data combinations could help to improve the classification and description of DILI-associated compounds?