Maria V. Vedunova

The paper develops a small immunological age clock model called SImAge using 10 biomarkers, achieving high accuracy with a deep neural network.

This study examines epigenetic age acceleration and adaptation mechanisms in the Yakutian population using DNA methylation data, finding higher age acceleration and region-specific methylation patterns related to climate adaptation and aging.

This study shows CKD patients have accelerated aging linked to inflammation, using DNA methylation and protein biomarkers.

The paper presents a method for classifying healthy individuals and patients using whole blood DNA methylation data, including data harmonization, imputation, and XAI for model explanation.

The paper assesses sex-specific DNA methylation changes with aging using whole blood datasets, finding 43% of sex-associated probes show age-related methylation changes and higher methylation variability in males.