AI RESEARCH
MOOZY: A Patient-First Foundation Model for Computational Pathology
arXiv CS.CV
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ArXi:2603.27048v1 Announce Type: new Computational pathology needs whole-slide image (WSI) foundation models that transfer across diverse clinical tasks, yet current approaches remain largely slide-centric, often depend on private data and expensive paired-report supervision, and do not explicitly model relationships among multiple slides from the same patient. We present MOOZY, a patient-first pathology foundation model in which the patient case, not the individual slide, is the core unit of representation.