Work Package 5: Data Analytics for Evaluation of Therapies

WP5 will work on providing the means for analyzing complex data sets comprised of different layers of information. This will enable molecular and clinical data to be linked to predicting outcomes. Its activity will be centered on the description, analysis, and modeling of the data collected, which will then be generated into a personalized medicine framework. Tools and models will be implemented to answer the most important disease-specific questions and will be applicable to cross-disease analyses. 

Objectives

Work Package Partners

AEMPS, Amgen, AP-HP, Barts Health, Bayer, BFArM, EBMT, ELN, EORTC, Erasmus MC, ERIC, FISM Onlus, GFM, GMV, Goethe University, GPOH, GRAALL, GRL-SANGER, HHU, HULAFE, IECSCYL-IBSAL, IJC, Janssen, LeukaNET, LMU, LYSA, MediSapiens, MenarinI, MLL, MU, Newcastle University, NICE, Novartis, OPBG, Takeda, Ulm University, UNIBO, UNITO, University of Cambridge, University of Helsinki, University of Navarra, University of Rome Tor Vergata, University of York, VHIO, VIB, Vumc.

Work Package Leadership

"WP5 aims to develop methodologies for statistical analysis and modelling of both molecular and clinical data coming from patients with hematological malignancies, identifying possible specific disease markers and providing analytical tools deployed on the Harmony data platform."

Gastone Castellani, Professor Department of Physics and Astronomy Academic discipline: FIS/07 Applied Physics. Head of "L. Galvani" Interdepartmental Research Centre for Integrative Studies in Bioinformatics, Biophysics and Biocomplexity, Alma Mater Studiorum - Università di Bologna (UNIBO)
WP5 Leader

"The challenge of WP5 is to provide methodologies to analyze data, integrating clinical and non-clinical information, to build a predictive tool in a personalized medicine framework."

Simona Scartoni, Head of Biostatistics and Data Management, Menarini Ricerche
WP5 Leader