Work Package 3: Data Access, Analytics and Integrated Service Platform

WP3 coordinates data collection for the new HMs that are incorporated in HARMONY PLUS, including Myeloproliferative Disorders, Lymphoproliferative disorders, and other rare HMs. Advanced techniques like statistical modelling, Machine Learning, Neural Networks, and Deep Learning will be applied to model disease progression, identify new markers, and perform risk stratification. In addition, WP3 will transform the HARMONY Big Data Platform into an Integrated Services Platform that will allow stakeholders across Europe to exploit the analytical capabilities of the Platform in an easy and intuitive way to answer their research questions. This will promote data-driven research across Europe and enable business growth in the field of big data analytics and Artificial Intelligence for healthcare.

Objectives

Extending the data collection capabilities of HARMONY by developing specific Extract, Transform and Load processes for the HMs not covered by the initial HARMONY action. Improving the overall data collection and harmonization process by applying new mechanisms, technologies, and processes;
Defining the overall architecture and specifying the requirements at system and sub-system level to address the full requirement list of the upgraded HARMONY PLUS platform;
Applying statistical modelling, including Bayesian methods and Artificial Intelligence techniques, to create prediction models and tools to answer the most important disease-specific questions for the new HMs;
Developing risk stratification and automated classification of HM patients into sub-groups with significant intra-subgroup clinical and biological homogeneity for personalized medical applications;
Transforming the HARMONY platform into an Integrated Service Platform to expand, promote, and foster its use by a wide variety of stakeholders with the goal of turning scientific research into exploitable and sustainable services;
Creating the HARMONY HaemoDataBank Repository, a centralized repository of information from patient samples across different medical centers to support Clinical Trial design using control arms data;
Creating an Expert Committee platform to allow the coordinated and collaborative work of multidisciplinary teams to provide personalized care to HM patients;
Aligning with WP2 and WP4 to design and implement additional modules that will enable data-driven decisions by payers and regulators.

Work Package Partners

GMV, IECSCYL, Hospital La Fe, Charite, UNIBO, UULM, ELN, EMC, UNAV, UNITO, VUMC, UCAM, IJC, ERIC, MU, LYSA, LMU MUENCHEN, GFM, FISiM-ETS, UNEW, GPOH, OPBG, EBMT, VIB, UH, GRL, Medisapiens, MLL, Novartis, Menarini, Pfizer.