Boosting multiple sclerosis lesion segmentation through attention mechanism

1 code implementation • 21 Apr 2023 • Alessia Rondinella, Elena Crispino, Francesco Guarnera, Oliver Giudice, Alessandro Ortis, Giulia Russo, Clara Di Lorenzo, Davide Maimone, Francesco Pappalardo, Sebastiano Battiato

Magnetic resonance imaging is a fundamental tool to reach a diagnosis of multiple sclerosis and monitoring its progression.

Lesion Segmentation

Verification of an agent-based disease model of human mycobacterium tuberculosis infection

no code implementations • 27 Feb 2021 • Cristina Curreli, Francesco Pappalardo, Giulia Russo, Marzio Pennisi, Dimitrios Kiagias, Miguel Juarez, Marco Viceconti, .

Agent-Based Models are a powerful class of computational models widely used to simulate complex phenomena in many different application areas.

In Silico Trial to test COVID-19 candidate vaccines: a case study with UISS platform

no code implementations • 5 May 2020 • Giulia Russo, Marzio Pennisi, Marco Viceconti, Francesco Pappalardo

UISS is then potentially ready to be used as an in silico trial platform to predict the outcome of vaccination strategy against SARS-CoV-2.

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

no code implementations • 26 Oct 2019 • Valentina Di Salvatore, Fiorenza Gianì, Giulia Russo, Marzio Pennisi, Pasqualino Malandrino, Francesco Frasca, Francesco Pappalardo

By analyzing Gene Expression Omnibus data repository, across all thyroid cancer histotypes, we found that MAP3K8 is up-regulated in poorly differentiated thyroid carcinomas and its expression is related to a stem cell like phenotype and a poorer prognosis and survival.