  In Silico Clinical Trials (ISTC), i.e., clinical experimental campaigns
carried out by means of computer simulations, hold the promise to decrease time
and cost for the safety and efficacy assessment of pharmacological treatments,
reduce the need for animal and human testing, and enable precision medicine. In
this paper we present methods and an algorithm that, by means of extensive
computer simulation--based experimental campaigns (ISTC) guided by intelligent
search, optimise a pharmacological treatment for an individual patient
(precision medicine). e show the effectiveness of our approach on a case study
involving a real pharmacological treatment, namely the downregulation phase of
a complex clinical protocol for assisted reproduction in humans.
