Simone Pernice

Multiple Sclerosis disease: a computational approach for investigating its drug interactions

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 leading cause of...

A Simulation-Based Framework to Reduce I/O Contention in HPC

GPU Accelerated Analysis of Treg-Teff Cross Regulation in Relapsing-Remitting Multiple Sclerosis

Synthetic Data Generation and Multi-Dimensional Evaluation in Fondazione Italiana Linfomi (FIL) Diffuse Large B-Cell Lymphoma Clinical Cohort

Exploiting GPU computing for effective Agent-Based simulation: initial experiments

ParallNormal: An Efficient Variant Calling Pipeline for Unmatched Sequencing Data

MethylFASTQ: A Tool Simulating Bisulfite Sequencing Data

Deriving Symbolic Ordinary Differential Equations from Stochastic Symmetric Nets Without Unfolding

A Petri Net Formalism to Study Systems at Different Scales Exploiting Agent-Based and Stochastic Simulations

Multiformalism modeling and simulation of immune system mechanisms

Exploiting Stochastic Petri Net formalism to capture the Relapsing Remitting Multiple Sclerosis variability under Daclizumab administration

Estimating Daclizumab effects in Multiple Sclerosis using Stochastic Symmetric Nets

OmniReprodubileCellAnalysis: a comprehensive toolbox for the analysis of cellular biology data

PHeP: TrustAlert Open-Source Platform for Enhancing Predictive Healthcare with Deep Learning

Extension of the GreatMod Modeling Framework to Simulate Non-Markovian Processes with General-Distributed Events

Stochastic Modeling and Dosage Optimization of a Cancer Vaccine Exploiting the EpiMod Framework

Living Along COVID-19: Assessing Contention Policies Through Agent-Based Models

Synergy Between Mechanistic Modelling and Ensemble Feature Selection Approaches to Explore Multiscale Biological Heterogeneity