The Kane Lab studies frailty, as a quantitative measure of heterogeneity in health in aging. We are interested in identifying biological determinants of frailty in order to understand more about the molecular underpinnings of frailty and aging, to develop predictive biomarkers of frailty, and to identify targets to delay or prevent frailty. We use a combination of physiological, molecular and computational techniques across mouse models and human datasets. In particualar, we develop and analyze epigenetic, transcriptomic, metabolic, microbiome and functional/physiological data, and use machine learning and AI approaches to identify frailty markers and mechanisms. We are also interested in studying sex differences in underlying frailty measures.