Yoshinobu Igarashi, Ryosuke Kojima, Shigeyuki Matsumoto, Hiroaki Iwata, Yasushi Okuno, Hiroshi Yamada. Developing a GNN-based AI model to predict mitochondrial toxicity using the bagging method. The Journal of Toxicological Sciences. 2024. 49. 3. 117-126
Rika Okamoto, Ryosuke Kojima, Masahiko Nakatsui. Toward AI-supported evaluation for safety control measures against near-miss events in pharmaceutical products. Safety Science. 2023. 168. 106314-106314
Narumi Hatano, Mayumi Kamada, Ryosuke Kojima, Yasushi Okuno. Network-based prediction approach for cancer-specific driver missense mutations using a graph neural network. BMC bioinformatics. 2023. 24. 1. 383-383
Kazuki Nakamura, Eiichiro Uchino, Noriaki Sato, Ayano Araki, Kei Terayama, Ryosuke Kojima, Koichi Murashita, Ken Itoh, Tatsuya Mikami, Yoshinori Tamada, et al. Individual health-disease phase diagrams for disease prevention based on machine learning. Journal of Biomedical Informatics. 2023. 144. 104448-104448
Takuto Koyama, Shigeyuki Matsumoto, Hiroaki Iwata, Ryosuke Kojima, Yasushi Okuno. Improving Compound-Protein Interaction Prediction by Self-Training with Augmenting Negative Samples. Journal of Chemical Information and Modeling. 2023. 63. 15. 4552-4559