75 citations · 147 across the 9 of their papers we have counts for
5 papers · 1 filter
Verification of an agent-based disease model of human mycobacterium tuberculosis infection
Cristina Curreli, Francesco Pappalardo, Giulia Russo +5
Agent-Based Models are a powerful class of computational models widely used to simulate complex phenomena in many different application areas. However, one of the most critical asp…
In Silico Trial to test COVID-19 candidate vaccines: a case study with UISS platform
Giulia Russo, Marzio Pennisi, Marco Viceconti +1
SARS-CoV-2 is a severe respiratory infection that infects humans. Its outburst entitled it as a pandemic emergence. To get a grip on this, outbreak specific preventive and therapeu…
Generation of digital patients for the simulation of tuberculosis with UISS-TB
Marzio Pennisi, Miguel A. Juarez, Giulia Russo +2
EC funded STriTuVaD project aims to test, through a phase IIb clinical trial, two of the most advanced therapeutic vaccines against tuberculosis. In parallel, we have extended the…
Evaluation of the efficacy of RUTI and ID93/GLA-SE vaccines in tuberculosis treatment: in silico trial through UISS-TB simulator
Giulia Russo, Francesco Pappalardo, Miguel A. Juarez +5
Tuberculosis (TB) is one of the deadliest diseases worldwide, with 1,5 million fatalities every year along with potential devastating effects on society, families and individuals.…
POSITION PAPER: Credibility of In Silico Trial Technologies: A Theoretical Framing
Marco Viceconti, Miguel A. Juárez, Cristina Curreli +3
Different research communities have developed various approaches to assess the credibility of predictive models. Each approach usually works well for a specific type of model, and…