Across the world's hospitals, vast stores of bone health data sit locked behind privacy walls, leaving physicians to predict fracture risk with tools built on narrow foundations. A research team has now shown that those walls need not be barriers to collective intelligence: their federated learning framework, ADP-FedRE, allows institutions to train a shared model without ever surrendering a single patient record, achieving diagnostic accuracy that rivals systems with full data access. The achievement sits at the intersection of two of medicine's deepest tensions — the imperative to protect ind