Regenerative engineering AI: a new paradigm for the future of tissue regeneration

For over a decade, regenerative engineering has been defined as the convergence of advanced materials sciences, stem cell sciences, physics, developmental biology, and clinical translation for the regeneration of complex tissues. Recently, the field has made major strides because of new efforts made possible by the utilization of another growing field: artificial intelligence. However, there is currently no term to describe the use of artificial intelligence for regenerative engineering. Therefore, we hereby present a new term, “Regenerative Engineering AI”, which cohesively describes the interweaving of artificial intelligence into the framework of regenerative engineering rather than using it merely as a tool. As the first to define the term, regenerative engineering AI is the interdisciplinary integration of artificial intelligence and machine learning within the fundamental core of regenerative engineering to advance its principles and goals. It represents the subsequent synergetic relationship between the two that allow for multiplex solutions toward human limb regeneration in a manner different from individual fields and artificial intelligence alone. Establishing such a term creates a unique and unified space to consolidate the work of growing fields into one coherent discipline under a common goal and language, fostering interdisciplinary collaboration and promoting focused research and innovation.