most citedPOSITION PAPER: Credibility of In Silico Trial Technologies: A Theoretical Framing

7 citations · 7 across the 5 of their papers we have counts for

collaborators

5 papers

q-bio.QM2020

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…

q-bio.QM2019

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…

q-bio.QM2019

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.…

q-bio.MN2019

Gene expression and pathway bioinformatics analysis detect a potential predictive value of MAP3K8 in thyroid cancer progression

Valentina Di Salvatore, Fiorenza Gianì, Giulia Russo +4

Thyroid cancer is the commonest endocrine malignancy. Mutation in the BRAF serine/threonine kinase is the most frequent genetic alteration in thyroid cancer. Target therapy for adv…

q-bio.QM20197 cited

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…