This research proposes a strategy of utilizing deep generative models for the task of simulating T1D patient profiles by learning glycaemic trends in the form of glucose-insulin and glucose-carbohydrate relationships from the data. The gene discussed is INS; the disease is type 1 diabetes mellitus.