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Nature argues AI drug discovery needs federated data, not just bigger models

A new Nature commentary makes the case that the next bottleneck in AI drug discovery is not model design alone but how data is shared, governed and combined across institutions. The piece points toward federated approaches as a practical path for using sensitive biomedical data without forcing it into centralized repositories.