AUTHOR=Kiagias Dimitrios , Russo Giulia , Sgroi Giuseppe , Pappalardo Francesco , Juárez Miguel A. TITLE=Bayesian Augmented Clinical Trials in TB Therapeutic Vaccination JOURNAL=Frontiers in Medical Technology VOLUME=Volume 3 - 2021 YEAR=2021 URL=https://www.frontiersin.org/journals/medical-technology/articles/10.3389/fmedt.2021.719380 DOI=10.3389/fmedt.2021.719380 ISSN=2673-3129 ABSTRACT=We propose a Bayesian hierarchical model that combines in silico and in vivo data in an augmented clinical trial with binary end points. The joint posterior distribution from the in silico experiment works as a prior, weighted by a measure of compatibility of those common characteristics with the in vivo data. We also formalise the contribution and impact of in silico information in the augmented trial. We illustrate our approach to inference with in silico data from the UISS-TB simulator ---virtual patients with tuberculosis disease---, and synthetic physical patients from a clinical trial.