Optimal Personalised Treatment Computation through In Silico Clinical Trials on Patient Digital Twins*
Issue title: Special issue of the 25th RCRA International Workshop on Experimental Evaluation of Algorithms for Solving Problems with Combinatorial Explosion
Guest editors: Thomas Eiter, Marco Maratea and Mauro Vallati
Affiliations: [a] Computer Science Department, Sapienza University of Rome, Italy. sinisi@di.uniroma1.it | [b] Department of Movement, Human and Health Sciences, University of Rome Foro Italico, Italy | [c] Division of Reproductive Endocrinology, University Hospital Zurich, Switzerland
Correspondence:
[†]
Address for correspondence: Computer Science Department, Sapienza University of Rome, Italy
Note: [*] This is a greatly extended and revised version of the preliminary work presented in [1]. Authors equally contributed to this article.
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 methods and an algorithm that, by means of extensive computer simulation-based experimental campaigns (ISCT) guided by intelligent search, optimise a pharmacological treatment for an individual patient (precision medicine). We 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.
Keywords: Artificial Intelligence, Virtual Physiological Human, In Silico Clinical Trials, Simulation, Personalised Medicine, In Silico Treatment Optimisation
