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.
Personalized statistical learning algorithms to improve the early detection of cancer using longitudinal biomarkers.Cancer Biomark., 33(2):199–210, 2022
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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.