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Personalized-Medicine-Redefining-Cancer-Treatment is a problem of classifying the given genetic mutations based on the literature available in the medical domain into one of the given 9 classes. In reality, The molecular pathologist searches for evidence in the medical literature that is relevant to the given genetic variations. Finally, this molecular pathologist spends a huge amount of time analyzing the evidence related to each of the variations to classify them. The goal of this case study is to replace the last step with a machine learning model.