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Clinical System One (CS1), a 4-billion-parameter decision model for fast, typed judgments from clinical records, is presented, along with two agentic harnesses in which CS1 works together with a generalist language model.
This work presents MiTHras, a task-specific pretraining framework that combines pseudo-label-guided image- and token-level contrastive learning with masked reconstruction that yields robust, transferable representations for automated mitotic activity assessment.
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