Abstract: It is disclosed a blood glucose prediction system and method. According to one example embodiment, the blood glucose prediction system may include a learning modeling unit for learning a blood glucose variability inference model to infer a correlation between a physical indicator and blood glucose variability, and learning a blood glucose inference model to infer a correlation between sugar of saliva and blood glucose; a target information acquiring unit for acquiring a physical indicator and sugar of saliva of a target; a blood glucose variability estimating unit for estimating blood glucose variability of the target by using the blood glucose variability inference model with the physical indicator of the target as an input parameter; and a blood glucose predicting unit for predicting blood glucose of the target by using the blood glucose inference model with the sugar of the saliva and the estimated blood glucose variability of the target as an input parameter.

Abstract: It is disclosed a blood glucose prediction system and method using saliva-based artificial intelligence deep learning technique.

Abstract: Disclosed are a biosensor structure for sample measurement and a sample measuring method using same.