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website effiris The advantage is that member data are kept confidential, thanks to privacy-preserving knowledge transfer methods, but all users of Effiris benefit from the effiris EFFIRIS consortium to predict the safety profile of medicines including cardiac safety before they are tested in human trials The latest
effiris Effiris delivers state-of-the-art secondary pharmacology models, where each model learns from the in-house confidential data of pharmaceutical Effiris is an ML federated platform developed by Lhasa to predict the on-target activity of small molecules based on their SMILES representation On the route to the future of clinical trials, UCB works with the EFFIRIS consortium to predict the safety profile of medicines including
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