In the long effort to make medicine more precise without compromising the people it serves, researchers have built an AI system capable of generating realistic brain MRI scans across multiple diseases and imaging formats — conjuring data where privacy and scarcity have long imposed silence. Trained on scans from nearly fifteen hundred subjects, the model learns not just what diseased brains look like, but how to separate anatomy, pathology, and imaging technique into distinct, recombineable layers. The result is a kind of synthetic abundance: plausible, radiologist-validated images that exist