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Study design. First, blood samples of three populations (Canadian, Korean and Eastern European) with 21 the most relevant features with maximum samples available were used to train three population specific predictors. Afterwards, the resulting dataset consisting of samples from all three populations was used to train and test DNNs for predicting patient age.
