Project

FindingMS

An integrated approach to predict disease activity in the early phases of Multiple Sclerosis
Application Areas
Research Areas
Research Lines
Staff
WEBSITE

ITB Principal Investigator

Name

An integrated approach to predict disease activity in the early phases of Multiple Sclerosis

Acronym

FindingMS

Location

Segrate

Start Date

2019

End Date

2023

Funder

ERA PerMed Joint Translational Call 2018

Partners

IRCCS Ospedale San Raffele (OSR) Centre Hospitalier Universitaire de Toulouse (CHUT) geneXplain GmbH (GXP) Area di Ricerca Milano 4 - Marco Moscatelli, Matteo Gnocchi

The main objective of FindingMS is to carry out a thorough investigation of molecular events that could confer risk of disease activity, incorporating clinical data, lifestyle features and multiple – omics profiles, and to build a predictive algorithm of Multiple Sclerosis (MS) disease activity that will enable personalized treatment of MS. The underlying hypothesis is that a comprehensive characterization of a large set of patients, integrating multi-layer data, could contribute to accelerate personalized medicine in MS through the identification of biomarkers of inflammatory activity and the development of network-based and AI approaches able to predict disease activity in the early phases of the disease. Moreover, we expect to disentangle the biological basis of MS inflammatory activity by identifying relevant pathways and modules implicated in disease activity.
  • Di Nanni, N. et al. (2020) “Gene relevance based on multiple evidences in complex networks,” Bioinformatics, 36(3), pp. 865–871. Available at: https://doi.org/10.1093/bioinformatics/btz652.
  • Mosca, E. et al. (2021) “Characterization and comparison of gene-centered human interactomes,” Briefings in Bioinformatics, 22(6). Available at: https://doi.org/10.1093/bib/bbab153.
  • Di Nanni, N. et al. (2020) “Network Diffusion Promotes the Integrative Analysis of Multiple Omics,” Frontiers in Genetics, 11. Available at: https://doi.org/10.3389/fgene.2020.00106.