Closing the data loop is essential for overcoming Eroom's Law in AI drug discovery. High-throughput automated screening and active learning pipelines help bridge the gap between computational predictions and wet-lab validation. This closed-loop approach significantly accelerates iteration cycles and improves hit rates for machine learning models in pharmaceutical R&D.
Opening Kapyn…