WP4 will establish a data-sharing platform that will effectively exploit the data that has been pulled from multiple sources. This platform will provide descriptive and predictive information on seven types of HMs, thus improving decision-making and the treatment of patients. The creation of statistical models will identify the best practices that will enable the best evidence to be generated. WP4 will use the most innovative methods of data analysis and the most advanced algorithms in order to achieve the optimum management and mining of the data that has been collected.
Objectives
- Create a unified platform to exploit data pulled from multiple sources
- Deploy automatic learning techniques and statistical models to generate descriptive, comparative, and predictive information
- Establish best practices to generate relevant evidence and information
- Transform the data gathered on the data platform into specific findings addressing the unmet needs of patient management and overcome challenges associated with the development of new products and diagnostic methods
- Develop the pilot HARMONY platform, visualize how it will be exploited, and monitor the results
Work Package Partners
Bayer, Celgene, EBMT, ELN, EORTC, GMV, HULAFE, IBSAL, Janssen, LeukaNET, MediUni Wien, Menarini, Novartis, Takeda, Ulm University, UNIBO, University of York.
Work Package Leadership
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Rüdiger Helhmann, Professor of Medicine, ELN Foundation
WP 4 Leader
“WP4 will provide the most comprehensive data analysis platform for HM, enabling the effective (re)use of data provided through the Harmony consortium.”
Michel van Speybroeck, Director Data Sciences, JPNV-JANSSEN
WP4 Leader