In the latest issue of Transplant International, Zhang et al. show how they developed P-cube, a multi-step precision prediction pathway model using data from a national Australian kidney transplant cohort. This model was then validated using registry data from the United States and can be used to identify allograft survival-specific risk factors within a heterogeneous population, leading to individualised survival prediction for each patient. Additionally, in Klein et al., the Transplant Therapeutics Consortium describes the iBOX Scoring System, a novel EMA-qualified secondary endpoint prognostic for long-term graft survival, aimed at demonstrating superiority of new immunosuppressants in kidney transplant trials.