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A generator-matrix causal-inference framework separates measurable aging biomarkers from mortality-driving latent dynamics in humans

2026-07-09

Abstract excerpt

A central challenge in computational geroscience is to distinguish molecular quantities that predict mortality from those that causally drive it. Epigenetic clocks and aging biomarkers are increasingly used as if they were that mechanism, yet this is rarely tested directly. This distinction also bears on competing theories of aging: damage/reliability (A), hyperfunction/mTOR–IIS (B-1), and information loss (B-2)...

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Literature Corpus work
2a7c8df0-5f94-51b4-8c97-f0db04f32e6c
DOI
10.64898/2026.07.05.26356402
Open publication

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A generator-matrix causal-inference framework separates measurable aging biomarkers from mortality-driving latent dynamics in humansDOI 10.64898/2026.07.05.26356402
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