8 citations · 19 across the 6 of their papers we have counts for
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q-bio.QM2023★ 5 cited
Dynamical network stability analysis of multiple biological ages provides a framework for understanding the aging process
Glen Pridham, Andrew D. Rutenberg
Widespread interest in non-destructive biomarkers of aging has led to a curse of plenty: a multitude of biological ages that each proffers a 'true' health-adjusted age of an indivi…
q-bio.OT2023★ 8 cited
Network dynamical stability analysis reveals key "mallostatic" natural variables that erode homeostasis and drive age-related decline of health
Glen Pridham, Andrew D. Rutenberg
Using longitudinal study data, we dynamically model how aging affects homeostasis in both mice and humans. We operationalize homeostasis as a multivariate mean-reverting stochastic…
q-bio.PE2023★ 2 cited
Modelling disease impact: lifespan reduction is greatest for young adults in an exogenous damage model of disease
Rebecca Tobin, Glen Pridham, Andrew D. Rutenberg
We model the effects of disease and other exogenous damage during human aging. Even when the exogenous damage is repaired at the end of acute disease, propagated secondary damage r…