Kenneth J. Rockwood

DNA methylation variability provides a complementary epigenetic signature of aging heterogeneity: Findings from the Canadian Longitudinal Study on Aging and the Baltimore Longitudinal Study of Aging

The paper identifies DNA methylation variability and differential methylation regions associated with aging-related health decline and constructs an epigenetic biomarker that outperforms methylation-only biomarkers in predicting mortality.

Dynamics of the end-of-life phase explained by the saturating removal model

The paper introduces a saturating removal model to explain end-of-life dynamics across species, showing it accurately captures morbidity patterns and predicts key phenomena in flies, mice, and humans.

Generating synthetic aging trajectories with a weighted network model using cross-sectional data

This paper develops a weighted network model to generate synthetic aging trajectories from cross-sectional health data, showing good agreement with observed mortality and health characteristics.

Probing the network structure of health deficits in human aging

The paper models human aging as a stochastic network of health attributes and shows that network structure influences the recovery of observational health data.