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Preprint describes privacy-aware LLM method for multimorbidity scoring

A medRxiv preprint describes a method that distils multimorbidity reasoning from large language models into smaller models using synthetic cohorts shaped like UK Biobank data. The resulting models achieved Spearman correlations of 0.75–0.89 and produced scores associated with improved survival prediction in a UK Biobank analysis.