Metabolomic age gap effect size

training data attribution increases metabolomic age gap effect size in silico (>2-fold).

“It more than doubles the metabolomic-age effect for type-2 diabetes”

In silicoremoving 10% most influential training samples

Attributing Cohen's d: Training Data Attribution for Disease-Related Effects in Normative Age Biomarkers

arXiv·7 Sep 2026Preprint