So How Is AI Drug Discovery Doing, Really?

The integration of machine learning into drug discovery is proving to be a complex journey marked by incremental laboratory successes rather than immediate, industry-wide disruption. While predictive models are accelerating target identification, the high costs of wet-lab validation and the uncertainty of clinical trials remain significant bottlenecks for AI-first biotech firms.