Goal: Machine learning (ML) technologies that leverage large-scale patient data are promising tools predictingdisease evolution in individual patients. However, the limited generalizability of ML models developed on single-center datasets,and their unproven performance in real-world settings, remain significant constraints to their widespread adoption in clinicalpractice. [...]