1. A method for training a neural network, comprising the steps of: (1) training a neural network using a first training set based on first lab data; (2) training or retraining said neural network using a second training set based on second lab data, and using said first training set; and (3) training or retraining said neural network using a third training set based on third lab data, and using said second training set, without using said first training set; wherein at least one of steps (1), (2), (3) comprises the steps of, (a) retrieving, from an historical database, training input data having a timestamp(s); (b) selecting a training input data time based on said timestamp(s); and (c) retrieving an input data indicated by said training input data time.