Case Studies

Our research efforts are devoted to the elucidation of the mechanisms involved in metabolic and immuno-inflammatory disorders, in neurodegeneration, cancer and infectious diseases, and in the analysis of omic and clinical data following therapies or dietary regimens. We complement our research with the development and customization of computational biology algorithms in support of systems pharmacology and nutrition.

Extracting knowledge from literature to inform Tuberculosis drug and vaccine development

Develop a TB Knowledgebase, that interactively aggregates, organizes, and analyzes publicly available literature and clinical trial documentation to support...

Investigating the inflammatory signaling characterizing lysosomal storage disorders (LSDs)

Develop a text-mining and systems biology framework to investigate the inflammatory signaling characterizing lysosomal storage disorders (LSDs). First...

Computational analysis of cytokine release following bispecific T-cell engager therapy

Develop a logical model describing the interplay between Bispecific T-cell engager antibodies (BiAbs) the immune system, and tumor cells. Perform in silico...

A QSP approach based on a graphical model to improve mRNA vaccine platforms

Analyzing and integrating multi-source knowledge and data, with the goal of clarifying the intricate biological processes involved in the mechanism of...

Logical modeling of COVID-19 intracellular infection: supporting therapies development

Develop a logical mathematical model of the intracellular pathways involved in the COVID-19 infection. The model can be used to study several drugs and...

Developing a robust computational pipeline for model-based and data-driven phenotype clustering

Develop a robust computational method for patient stratification that works in very challenging conditions, where the limited number of subjects included...

Developing a novel unsupervised and normalization-free tool for multi-omics integration and biomarker identification

Modern profiling technologies have led to relevant progress toward precision medicine and disease management. A new trend in patient classification is...