Influence of artificial intelligence on xenotransplantation and regenerative medicine on the path toward ending the organ shortage.
TL;DR
Together, these trends suggest that AI-enabled regenerative and xenogeneic strategies may meaningfully reduce the organ shortage and support future progress toward precision-engineered organ replacement.
Abstract
The purpose of this review is to summarize the most influential and conceptually significant publications from the past 2 years, including substantial 2026 publications, and to identify emerging directions likely to shape xenotransplantation and regenerative medicine in the near future. Advances in artificial intelligence (AI) now support more structured anticipation of future developments by integrating patterns across experimental, computational, and translational research. The field is approaching a potential inflection point in which increasingly capable AI systems, potentially approaching artificial general intelligence, may accelerate the design of stem-cell-derived tissues and progressively more complex organ constructs. In addition, scientific communication is evolving toward formats that support machine-assisted analysis and AI-driven knowledge synthesis. Multiple developments signal significant expansion across xenotransplantation and regenerative medicine, driven by innovations in gene editing, multimodal data integration, and AI-enabled prediction and decision-support systems. These advances will help to broaden access to transplantable organs and increase the scale and impact of the field across clinical practice, research, and workforce domains. Together, these trends suggest that AI-enabled regenerative and xenogeneic strategies may meaningfully reduce the organ shortage and support future progress toward precision-engineered organ replacement.