ML Model Identifies Cancer Type-Specific Driver Mutations
Pohang University of Science and Technology
Predicting the carcinogenicity of tissue-specific driver mutations may help detect and intervene in the early stages of cancer development
Machine learning model combines fusion gene expression, serum PSA level, and Gleason score to accurately predict cancer recurrence