Engineered proteins for biologic medicines now leverage AI to bypass traditional, high-failure trial-and-error methods. These tools predict how proteins fold and interact, slashing the time and cost of early-stage discovery. This shift allows MIT researchers and biotech firms to identify viable candidates faster. It reduces the financial risk of drug development.