The physics of aging: stability, singular transitions, and power-laws

Synopsis

Aging is a complex dynamical process. Enormous amounts of high-dimensional longitudinal health data are becoming available for both humans and for model aging organisms. What are the simple, but not too simple, mathematical models we can use to digest this data? I will present three data-driven dynamical models of aging that we are using to simplify and understand the aging process. The first is a model of biomarker homeostasis. The second is a model of declining functional health. The third is a model of disease risk. I will tell you about what cool behaviors the models exhibit, what open questions we see, and how we are going to address them.