Results of the Train-Validate-Test paradigm are given in Table . The MAE of the MLP model is 0.421 for the test set and 0.267 for the full training set, indicating that a tuned version of this model performs well for data not available during training. This represents a mean percent error of 15.6% for the prediction of TD for time-points past the first month of the study given the average total degradation past this is 3.0%. Therefore, we would like to further optimize the prediction of TD using additional information, and idea which will be discussed in a later section of this work.