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MINT Uses Minute-Scale EHR Data for Pediatric Emergency Forecasts

A medRxiv preprint describes MINT, a foundation model trained and validated on 766,733 pediatric emergency visits. The authors report advantages over task-specific models in 21 of 25 comparisons and stronger performance than physicians on one respiratory-support forecasting task.

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Language models reconstruct patient journeys from EHR data

Researchers report a framework that combines language-model extraction from clinical notes with structured EHR data to build computable patient trajectories. In a GLP-1 receptor agonist analysis, it tracked weight, HbA1c and note-derived outcomes over time.