Marije Sluiskes et al. published a paper “The AccelerAge framework: A new statistical approach to predict biological age based on time-to-event data” in European Journal of Epidemiology in April 2024

They compare predictors based on the AccelerAge framework to a predictor based on the GrimAge predictor, which is considered one of the best-performing biological age predictors, using simulated data as well as data from the UK Biobank ( and the Leiden Longevity Study ( Their approach seeks to establish a robust statistical foundation for biological age clocks, enabling a more accurate and interpretable assessment of an individual’s aging status.