Data is knowledge. Access to data gives scientists and healthcare professionals insights into disease characteristics and correlations between different biomarkers. Today, artificial intelligence algorithms are already reimaging research in many disciplines of life sciences and medicine, and could help us harness the full power of data. Thankfully, one barrier stands in the way: data silos. However, this can be easily overcome if we start to cooperate closer and share data within a secure and trusted ecosystem.
Working in such an outstanding team, we have managed to collect a very large amount of data sets from all over Europe. And more are on the way! The innovative HARMONY Big Data Platform, a central analytical infrastructure, was launched in 2017 to harmonize the data sets donated by European hospitals, academic institutions conducting clinical trials, and pharmaceutical companies, among other data custodians. Today, the HARMONY data lake is one of the largest databases of its kind, and still growing: the Alliance has already identified over 150,000 cases not only from Europe, but from all around the world. In addition, careful procedures have been installed to ensure the anonymization and the quality of the data. HARMONY data scientists have developed sophisticated methods for data harmonization and analysis. This moonshot continues, and you can be a part of it!
Click here to open our 'Manifesto' folder >
The HARMONY Alliance has been working hard to collect data and speed up research on Hematologic Malignancies for the past six years. Over 100+ organizations from 18 European countries already share the HARMONY Alliance mission: personalized treatment for blood cancer patients.
Co-operative working groups, hospitals and academic institutions are invited to collaborate and contribute data to the HARMONY Alliance Big Data Platform. By becoming an Associated Member of HARMONY you will not only contribute to mproving outcomes for individuals with blood cancer, you can:
Click here to learn more about the steps to take >
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