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Trade secrets relate to valuable know-how and business information, that is undisclosed and intended to remain confidential.

As computational biology and artificial intelligence reshape drug discovery, pharmaceutical companies face a critical challenge: how to protect not just the final therapeutic compound, but the entire ecosystem of datasets, models, and biological insights that enabled its creation. This article examines the evolving intellectual property landscape where 90% of clinical candidates still fail, yet the tools predicting their success are becoming as valuable as the medicines themselves.