Can AI transform biofabrication for clinical translation?

By successfully integrating artificial intelligence (AI) into research workflows, researchers could substantially increase scientific productivity" [1].In biofabrication, AI is driving a paradigm shift from empiricism toward intelligent, datacentric manufacturing [2].By integrating computation, automation, and biology, AI gives rise to self-evolving, adaptive systems that learn from data, predict complex behaviors, and autonomously optimize fabrication outcomes.Such systems translate experimental insights into patient-specific and clinically relevant solutions, bridging laboratory research and regenerative therapies [3].This emerging frontier is rapidly advancing from concept to application.This Special Column highlights how AI-driven advances in materials, design, and manufacturing are reshaping biofabrication for regenerative medicine and clinical translation.