NORMA, a conditional transformer framework, generates blood biomarker reference intervals by conditioning on patient history and population priors, outperforming pure personalization in predicting clinical outcomes such as mortality and kidney injury.
SSM-CGM: Interpretable state-space forecasting model of continuous glucose monitoring for personalized diabetes management.arXiv [cs.LG], October 2025
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Learning Normal Representations for Blood Biomarkers
NORMA, a conditional transformer framework, generates blood biomarker reference intervals by conditioning on patient history and population priors, outperforming pure personalization in predicting clinical outcomes such as mortality and kidney injury.