7 citations · 8 across the 7 of their papers we have counts for
8 papers
AutoML-Med: A Framework for Automated Machine Learning in Medical Tabular Data
Riccardo Francia, Maurizio Leone, Giorgio Leonardi +4
Medical datasets are typically affected by issues such as missing values, class imbalance, a heterogeneous feature types, and a high number of features versus a relatively small nu…
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…
Multiple Sclerosis disease: a computational approach for investigating its drug interactions
Simone Pernice, Marco Beccuti, Greta Romano +10
Multiple Sclerosis (MS) is a chronic and potentially highly disabling disease that can cause permanent damage and deterioration of the central nervous system. In Europe it is the l…
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.…
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…
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…