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We use an MLP model to identify and detect moments of cannabis use. We later use transfer learning to further enhance model accuracy.

Accurately forecasts future blood glucose level and predicts dysglycemic events thereby.

GlySim forecasts blood glucose level from medication, consumption and exercise information and intervenes beforehand if an abnormal event is forthcoming.