
Sign up to save your podcasts
Or


In this February episode of the Transplant International Podcast, Deputy Editor-in-Chief Nina Pilat and Editorial Fellow Antonio Citro explore two major highlights from the current issue. First, they discuss the Editors’ Choice selection of the Top 12 Most Impactful Papers in Clinical Transplantation in 2025, covering breakthroughs from xenotransplantation and immune engineering to organ preservation and oncology. They then turn to a comprehensive narrative review on machine learning in lung transplantation, unpacking how AI-driven approaches are influencing outcome prediction, organ allocation, imaging, and precision medicine. Together, these topics provide a forward-looking perspective on how biological innovation and computational methods are converging to transform the field.
By ESOTIn this February episode of the Transplant International Podcast, Deputy Editor-in-Chief Nina Pilat and Editorial Fellow Antonio Citro explore two major highlights from the current issue. First, they discuss the Editors’ Choice selection of the Top 12 Most Impactful Papers in Clinical Transplantation in 2025, covering breakthroughs from xenotransplantation and immune engineering to organ preservation and oncology. They then turn to a comprehensive narrative review on machine learning in lung transplantation, unpacking how AI-driven approaches are influencing outcome prediction, organ allocation, imaging, and precision medicine. Together, these topics provide a forward-looking perspective on how biological innovation and computational methods are converging to transform the field.