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.
medical-imaging digital-pathology computational-pathology self-supervised-learning multiple-instance-learning survival-prediction histopathology whole-slide-image patient-representation foundation-model pathology-foundation-model slide-representation-learning moozy slide-encoder patient-encoder wsi-foundation-model
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Updated
Apr 1, 2026 - Python