Engineered proteins form the basis of biologic medicines, yet most candidates fail during development. New AI tools now predict protein structures and interactions to reduce these failure rates. MIT Tech Review highlights how these models cut years from the traditional R&D cycle. This shift lowers costs for researchers developing targeted therapies for complex diseases.