RESULTS

Convolutional neural network can recognize drug resistance of single cancer cells (Int. J. Mol. Sci., 2020, in press).   

In the international collaboration with University of Rome, as well as department of gastroenterology (Profs Yuichiro Doki and Hidetoshi Eguchi), Yanagisawa et al. performed the analysis of drug resistance of single cancer cells by the convolutional neural network (CNN) model, which demonstrated that a CNN based on the VGG16 model could predict the efficiency of anti-tumor drugs at single-cell level, suggesting that precision medicine for individual patients may be possible by extracting circulating tumor cells from blood by using an AI system.