In silico clinical trials, defined as ÒThe use of individualised computer simulation in the development or regulatory evaluation of a medicinal product, medical device, or medical interventionÓ, have been proposed as a possible strategy to reduce the regulatory costs of innovation and the time to market for biomedical products. We review some of the the literature on this topic, focusing in particular on those applications where the current practice is recognised as inadequate, as for example the detection of unexpected severe adverse events too rare to be detected in a clinical trial, but still likely enough to be of concern. We then describe with more details two case studies, two successful applications of in silico clinical trial approaches, one relative to the Padova Ð UVA simulator that the FDA has accepted as possible replacement for animal testing in the pre-clinical assessment of artificial pancreas technologies, and the second an investigation of the probability of cardiac lead fracture, where a Bayesian network was used to combine in vivo and in silico observations, suggesting a whole new strategy of in silico-augmented clinical trials, to be used to increase the numerosity where recruitment is impossible, or to explore patientsÕ phenotypes that are unlikely to appear in the trial cohort, but are still frequent enough to be of concern.