Engineered proteins form the basis of biologic medicines, yet most candidates fail during development. MIT Tech Review highlights how AI reduces these high costs by predicting protein structures and interactions. This shift replaces slow trial-and-error with precise computational modeling. Researchers now identify viable drug candidates faster, slashing the time from lab to patient.