Takeda Joins Lhasa's Effiris Consortium
Takeda Joins Lhasa's Effiris Consortium
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Federated Learning in Computational Toxicology: An Industrial Perspective on the Effiris Hackathon Davide Bassani, Alessandro Brigo and Andrea Andrews
EFFIRIS consortium to predict the safety profile of medicines including cardiac safety before they are tested in human trials The latest Effiris is an ML federated platform developed by Lhasa to predict the on-target activity of small molecules based on their SMILES representation
residential zone classification declared by tax payer E Effiris effiris · 0 follower · 129 following Segui effiris non ha ancora salvato nessun Pin The advantage is that member data are kept confidential, thanks to privacy-preserving knowledge transfer methods, but all users of Effiris benefit from the