In this article, we present two novel aging clocks created within the deep learning paradigm – PsychoAge and SubjAge DISCUSSION Both these clocks use the same set of 50 psychosocial features to estimate human chronological age and subjective age, respectively. These clocks showed superior performance during CV in MIDUS 1 (MAEPsychoAge= 6.70 years; MAESubjAge= 7.32 years) and were verified in two other large data sets – MIDUS 2 and MIDUS Refresher ( Table 1 ). In terms of epsilon accuracy, […]