A machine learning (ML) guided approach to prioritise Lp(a) testing could reduce the number of tests needed to identify individuals with elevated levels. This is the conclusion of researchers who tested an ethnicity-calibrated ML model developed to identify individuals with elevated Lp(a) in UK Biobank.
