@inproceedings{ManciniMariMassinietal.2018, author = {Mancini, Toni and Mari, Federico and Massini, Annalisa and Melatti, Igor and Salvo, Ivano and Sinisi, Stefano and Tronci, Enrico and Ehrig, Rainald and R{\"o}blitz, Susanna and Leeners, Brigitte}, title = {Computing Personalised Treatments through In Silico Clinical Trials. A Case Study on Downregulation in Assisted Reproduction}, booktitle = {Experimental Evaluation of Algorithms for Solving Problems with Combinatorial Explosion, Workshop of the Federated Logic Conference 2018 (FLoC 2018), Oxford}, doi = {10.29007/g864}, pages = {1 -- 16}, year = {2018}, abstract = {In Silico Clinical Trials (ISCT), 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 a case study aiming at quantifying, by means of a multi-arm ISCT supervised by intelligent search, the potential impact of precision medicine approaches on a real pharmacological treatment, namely the downregulation phase of a complex clinical protocol for assisted reproduction.}, language = {en} }