There are many answers. Overall, general concepts like neuronal networks are tailored and packaged to specific data situations and purposes. Perhaps one good example is drug response prediction, where such tools are trained on genomic features of model organisms such as cancer cell lines to predict patient-specific cancer drug response (very broadly speaking here).