Thank you for your question. Based on our understanding, semi-supervised learning has an advantage over supervised learning in the sense that it doesn’t require fully labelled dataset for training. This is especially useful for machine learning’s application in the medical field because labelling these data requires input from medical experts, which are valuable human resources. This is one of the reasons why medical labelled dataset is harder to come by and so we believe semi-supervised model can be better adopted in this field.