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65th Annual Meeting American Society for Hematology

December 09, 2023 09:00 - December 12, 2023 - 00:00

Save the date for ASH2023: The 65th ASH Annual Meeting and Exposition will take place December 9-12, 2023, in San Diego, California, and online. Mark your calendars now, HARMONY Alliance experts will participate. 

Stay tuned for more information.

Click here, to visit the ASH2023 website >

View our ASH2022 presentations, abstracts and activities here >


#bigdataforbloodcancer: Accelerating Better and Faster Treatment for Patients with Hematologic Malignancies.

The HARMONY Alliance (HARMONY and HARMONY PLUS) is a public-private European Network of Excellence for Big Data in Hematology. Our mission is to unlock and spread valuable knowledge on hematologic malignancies (blood cancers) among a large number of stakeholders, with the goal to harness and mine Big Data to speed up the development of improved treatments for patients and more effective treatment strategies. HARMONY is a partnership with more than 140 organizations such as hospitals, research institutes, patient organizations, pharmaceutical companies, regulatory agencies, IT companies, and medical network and associations such as EHA. Together, they have developed the HARMONY Big Data Platform and the HARMONY Datalake, which contains anonymized data records from tens of thousands of blood cancer patients. This unique research infrastructure, with advanced big data analytic and AI tools, is being used to accelerate the development of more effective treatments for patients with hematologic malignancies (blood cancers).

HARMONY has identified more than 163,000 patient datasets and has transferred more than 101,000 datasets into the HARMONY Big Data Platform. Careful procedures have been installed to ensure the anonymization and quality of the data. In addition, HARMONY data scientists have developed sophisticated methods for data harmonization and analysis. Dedicated Research Project teams are currently using the Big Data Platform to answer critical research questions that cannot be addressed with other methods.



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