A recent study by Broad Institute researchers, led by Aristotelous, Tonia, integrates DNA-encoded libraries with machine learning models to enhance hit identification in drug discovery. The method efficiently distinguishes promising candidates using enrichment scores, offering a modern, data-driven alternative to traditional screening approaches.