project . 2019 - 2022 . Closed

MELLODDY

MachinE Learning Ledger Orchestration for Drug DiscoverY
Open Access mandate for Publications European Commission
  • Funder: European CommissionProject code: 831472 Call for proposal: H2020-JTI-IMI2-2018-14-two-stage
  • Funded under: H2020 | IMI2-RIA Overall Budget: 18,635,500 EURFunder Contribution: 8,000,000 EUR
  • Status: Closed
  • Start Date
    01 Jun 2019
    End Date
    31 May 2022
  • Detailed project information (CORDIS)
  • Open Access mandate
    Research Data: No
Description
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 even each other’s competitive data, without mutual disclosure of the chemistry and biology each partner has worked on, has previously held back such demonstration, to the d...
Description
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 even each other’s competitive data, without mutual disclosure of the chemistry and biology each partner has worked on, has previously held back such demonstration, to the d...
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