Correction: Machine learning based prediction of cognitive metrics using major biomarkers in SuperAgers (Scientific Reports, (2025), 15, 1, (18735), 10.1038/s41598-025-01477-2)

Correction to: Scientific Reportshttps://doi.org/10.1038/s41598-025-01477-2, published online 28 May 2025 The original version of this Article contained an error in Figure 1, where the histogram used to illustrate the SuperAger classification scheme is missing yellow filling beyond -1 standard deviation. The original Figure 1 and accompanying legend appear below. The original Article has been corrected. (Figure presented.) Workflow of the SuperAger identification study. This figure illustrates the workflow of the study aimed at identifying SuperAgers among elderly individuals. (a) SuperAger classification is performed using SNSB-II cognitive tests and blood biomarkers, compared to the cognitive performance of individuals in their 40s. (b) The machine learning pipeline incorporates feature selection (RFE, BORUTA), data augmentation using fine-tuned large language models (GReaT), and model interpretation with SHAP to reveal key biomarkers associated with cognitive resilience.