RESULTS

A convolutional neural network uses microscopic images to differentiate between mouse and human cell lines and their radioresistant clones (Cancer Research, 2018, in press)

In collaboration with the Department of Radiation Oncology, Osaka University (Prof. Kazuhiko Ogawa), Toratani et al. demonstrated that the utility of image recognition using the artificial intelligence (AI) technology for predicting minute differences among phase-contrast microscopic images of cancer cells and their radioresistant clones. This study demonstrates rapid and accurate identification of radioresistant tumor cells in culture using artifical intelligence, and this should have applications in future pre-clinical cancer research.