A generator-matrix causal-inference framework separates measurable aging biomarkers from mortality-driving latent dynamics in humans
This study utilizes a generator-matrix causal-inference framework to demonstrate that the majority of human mortality acceleration is driven by latent dynamics largely invisible to current measurable biomarkers, which show no causal effect on lifespan and remain resistant to cellular reprogramming.