Modular online patch streaming from whole-slide images for training pathology foundation models. No pre-extraction, no disk overhead – patches are sampled, filtered, and augmented on-the-fly.
A patient-first foundation model for computational pathology. Two-stage training (self-supervised slide encoding + supervised case-level alignment) on 77K+ public whole-slide images across 333 clinical tasks.
