AI Drug Discovery Bottleneck is Biology, Not Models

The prevailing narrative surrounding artificial intelligence in drug discovery often focuses on the sophistication of AI models. However, a deeper analysis reveals that the true bottleneck lies not in the algorithms themselves, but in the underlying biological data and understanding. Advancements in AI are outpacing the ability to generate and interpret the complex biological information required for effective drug development. This disconnect highlights the critical need for parallel progress in biological research and data generation to fully unlock AI's potential in this field.