The NIA recently formulated a need to develop technically and clinically feasible method to assess systemic resilience as a predictor of individual recovery in older persons. Our group applies the generic dynamical systems theory to the aging human, which gives rise to new measures of resilience. A human being, like any complex system, is permanently subject to natural perturbations from the environment. When one continuously monitors physiologic parameters, the system’s dynamic responses to perturbations can be captured. A complex system with declining resilience shows slowing down of its dynamic responses. From time series of physiological parameters exhibiting a dynamic equilibrium, dynamical indicators of resilience (DIORs) can be calculated. A lack of resilience is reflected by an increase in three DIORs: the variance, temporal autocorrelation (states becoming more correlated with states on subsequent moments), and cross-correlations between the observed fluctuations. Importantly, as DIORs tap into the dynamic behavior rather than the mean state of systems, they may be more sensitive to discriminate subtle differences in the human capacity to resist and recover from health challenges than traditional health risk indicators.This talk will outline the current state-of-the-art of the development of DIORs in aging research. Challenges in the collection, analysis, and interpretation of physiologic time series data will be outlined. By highlighting applications of DIORs in related research fields like psychology and veterinary science, potential new research leads will be formulated.