To explore the mechanistic relationships between aging, frailty and mortality, we developed
a computational model in which possible health attributes are represented by the nodes of a …

The gradual accumulation of damage and dysregulation during the aging of living organisms
can be quantified. Even so, the aging process is complex and has multiple interacting …

We develop a computational model of human aging that generates individual health trajectories
with a set of observed health attributes. Our model consists of a network of interacting …

Aging is associated with the accumulation of damage throughout a persons life. Individual
health can be assessed by the Frailty Index (FI). The FI is calculated simply as the proportion f …

As an organism ages, its health-state is determined by a balance between the processes of
damage and repair. Measuring these processes requires longitudinal data. We extract …

We have built a computational model for individual aging trajectories of health and survival,
which contains physical, functional, and biological variables, and is conditioned on …

We confront a network model of human aging and mortality in which nodes represent health
attributes that interact within a scale-free network topology, with observational data that use …

Frailty indices (FIs) based on continuous valued health data, such as obtained from blood
and urine tests, have been shown to be predictive of adverse health outcomes. However, …

Single-file diffusion exhibits anomalously slow collective transport when particles are able
to immobilize by binding and unbinding to the one-dimensional channel within which the …

Gene expression dynamics provide directional information for trajectory inference from
single-cell RNA sequencing data. Traditional approaches compute RNA velocity using strict …