Timothy V. Pyrkov

Longitudinal analysis of blood markers reveals progressive loss of resilience and predicts ultimate limit of human lifespan

The paper analyzes longitudinal blood marker data to show aging is associated with declining physiological resilience and predicts a lifespan limit around 120-150 years.

Biological age is a universal marker of aging, stress, and frailty

The paper investigates biological age modeling using supervised learning techniques, finding that biological aging acceleration correlates with disease burden and molecular markers of stress in both healthy and diseased individuals.

Quantitative Characterization of Biological Age and Frailty Based on Locomotor Activity Records

The paper quantifies biological age and frailty using locomotor activity data from NHANES and UKB, linking aging trajectories to mortality and health outcomes.

Extracting biological age from biomedical data via deep learning: too much of a good thing?

This study compares biological age models using NHANES data, finding that supervised models improve age estimation but reduce mortality prediction accuracy, and introduces a new mortality risk model.