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.
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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.