VIM and non-small cell lung carcinoma: Furthermore, by constructing neural network from the long short-term memory (LSTM) algorithm for learning, we showed that the position of these oscillation peaks can be used to predict the level of vimentin, a conventional mesenchymal marker, in NSCLC cells with high accuracy (>90% for cell lines and >80% for CTCs), highlighting the potential of our approach in achieving rapid and accurate MET detection in the future.