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Author

Andrew Zhang

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#artificial intelligence Preprint Oct 2026

Discrete Neural Interlingua for Ontology-Agnostic EHR Modeling

MEDIATOR is introduced, a discrete ontology-agnostic tokenizer that maps any clinical concept expressed as text into a shared vector-quantized codebook, turning EHR harmonization into open-vocabulary tokenization without manual mappings or a fixed vocabulary.

Tong Ding, Cai-Wei Tian, Dongmin Bang et al. · 0 citations
#artificial intelligence Review Oct 2026

A general-purpose System One decision model for clinical records

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.

Andrew Zhang, Trinh Vuong, Sophia J. Wagner et al. · 0 citations
Review Sep 2026

MARC: Morphology-Aware Regression of Consensus for Cell Segmentation in Subcellular Spatial Transcriptomics

The proposed MARC (Morphology-Aware Regression of Consensus), a framework that predicts a multi-method consensus-support map for SST segmentation, demonstrates that the predicted consensus maps localise weakly supported regions while preserving consensus-based rankings and identifying low-consensus cells for manual rev...

Xing-Yu Shu, Andrew Zhang, J. Yang et al. · 0 citations

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