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
- Harmonizing data according to their heterogeneity and complexity, with a special emphasis on statistical data cleaning (which identifies and corrects any abnormalities in the data) and statistical harmonization (normalization);
- Characterizing any variables that impact the data collected;
- Describing and modeling outcomes, particularly those related to disease progression, responder/non-responder factors, quality of life, healthcare resource use, and cost;
- Using economic analysis tools to identify and compare the value of HM care;
- Integrating data to create a holistic approach in a personalized medicine framework;
- Reporting on the cost-effectiveness of therapies and their societal value (including information on the quality of life).
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