Most computational bone adaptation algorithms implicitly or explicitly incorporate the concept that bone adaptst to a time averaged or integrated value of its applied mechanical loading. This "loading history" is represented by some quantification of the loading experienced buring an average or typical day, and usually consists of one or more loads which produce peak daily values of stress or strain. This approach results in a formulation shich rapidly responds to abrupt changes in daily loading. While the standard approach has proven to be quite successful in simulating long-term bone adaptations, it does not account for the time delays inherent in recrutment and activation of the cells which produce the adaptive response. To better reflect these time delays, we modified the standard approach to include a fading memory of past loading. In this formulation, the loading events from a given day exert a residual influance on the bone adaptation for a finite period of time. We beleive that this approach can improve the accuracy and utility of clinically relevant short-term bone adaptation simulations.