Summary
Rare diseases are individually rare, yet collectively affect millions of individuals worldwide. They pose persistent diagnostic challenges due to variability in clinical presentations, limited clinical expertise outside specialized centers, and fragmented patient data. These challenges are further compounded by small and geographically dispersed patient cohorts and strict privacy and regulatory constraints that limit data sharing across institutions and national borders. This makes it difficult to develop robust and widely applicable diagnostic models at any given site. This project addresses
