CORDIS Project
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MELLODDY seeks to revolutionize drug discovery by utilizing machine learning to analyze vast amounts of pharmaceutical data securely. This project aims to enhance predictive modeling while preserving data privacy, ultimately improving the drug development process.
MELLODDY will demonstrate how the pharmaceutical industry can better leverage its data assets to virtualize the Drug Discovery (DD) process with world-leading Machine Learning (ML) technologies as an answer to the ever-increasing challenges and stricter regulatory requirements it is facing.
The lack of a tested, secure and privacy-preserving platform for federated machine learning that enables pharmaceutical partners to extract DD-relevant information from all types of, not only their own but ev…
OWKIN FRANCE
Partner organizations (coordinator is shown above), with normalized type and CORDIS activity type. Guests see up to 4 partners.
Germany, Hamburg
Type: SME
Activity type: Private for-profit entities (excluding Higher or Secondary Education Establishments)
SME: Yes
BUDAPEST UNIVERSITY OF TECHNOLOGY AND ECONOMICS
Hungary, Budapest
Type: University / higher education
Activity type: Higher or Secondary Education Establishments
SME: No
France, Paris
Type: SME
Activity type: Private for-profit entities (excluding Higher or Secondary Education Establishments)
SME: Yes
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