Engineered proteins form the basis of biologic medicines, yet most candidates fail during development. MIT Tech Review highlights how AI reduces these costs by predicting protein structures and behavior. This shift replaces slow trial-and-error methods with precise digital simulations. Researchers now identify viable drug candidates faster, cutting years off the traditional pharmaceutical development timeline.