AI drug prediction: better data beats bigger models

Results from the OpenADMET AI competition showed that smaller, higher-quality datasets led to more accurate predictions for drug metabolism than larger, less curated ones. This challenges the 'bigger is always better' AI dogma for drug discovery. The findings indicate a shift in strategy for biopharma companies developing AI tools to identify promising new drug candidates faster.