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=3

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=<p>We propose a Bayesian hierarchical method for combining <italic>in silico</italic> and <italic>in vivo</italic> data onto an augmented clinical trial with binary end points. The joint posterior distribution from the <italic>in silico</italic> experiment is treated as a prior, weighted by a measure of compatibility of the shared characteristics with the <italic>in vivo</italic> data. We also formalise the contribution and impact of <italic>in silico</italic> information in the augmented trial. We illustrate our approach to inference with <italic>in silico</italic> data from the UISS-TB simulator, a bespoke simulator of virtual patients with tuberculosis infection, and synthetic physical patients from a clinical trial.</p>