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JCO Clinical Cancer Informatics|July 22, 2025
Computational Morphological Assessment of Bladder Cancer Tissue Is Prognostic of Recurrence and Overall Survival Following Transurethral ResectionPatrick Leo, Behtash G Nezami, Mahmut Akgul, et al.
Bone Reports|April 6, 2017
Individual and combining effects of anti-RANKL monoclonal antibody and teriparatide in ovariectomized miceNaoto Tokuyama, Jun Hirose, Yasunori Omata, et al.
Cancer Letters|September 25, 2025
AI-informed computational pathology classifier predicts outcomes across treatment modalities in muscle-invasive urothelial carcinomaKamal Hammouda, Naoto Tokuyama, Germán Corredor, et al.
Modern Pathology : an Official Journal of the United States and Canadian Academy of Pathology, Inc|October 30, 2021
Prediction of non-muscle invasive bladder cancer recurrence using machine learning of quantitative nuclear featuresNaoto Tokuyama, Akira Saito, Ryu Muraoka, et al.
Journal of Bone and Mineral Research : the Official Journal of the American Society for Bone and Mineral Research|November 29, 2014
Genomewide comprehensive analysis reveals critical cooperation between Smad and c-Fos in RANKL-induced osteoclastogenesisYasunori Omata, Tetsuro Yasui, Jun Hirose, et al.
Clinical Cancer Research : an Official Journal of the American Association for Cancer Research|December 1, 2025
A Computational Pathology Model to Predict Docetaxel Benefit in Localized High-Risk and Metastatic Prostate CancerSebastian Medina, Naoto Tokuyama, Kamal Hammouda, et al.
Modern Pathology : an Official Journal of the United States and Canadian Academy of Pathology, Inc|May 26, 2026
AI-Informed Architectural Insights of Three-Dimensional Glandular Networks Identify Prostate Cancer Patients at a Higher Risk of Biochemical RecurrenceJennifer Salguero-Lopez, Sebastian Medina, Robert Serafin, et al.
Clinical Cancer Research : an Official Journal of the American Association for Cancer Research|June 26, 2026
AI-Based Pathology classifier Predicts Sensitivity to Enzalutamide in Metastatic Hormone-Sensitive Prostate Cancer: A Biomarker Analysis of the ENZAMET TrialSebastian Medina, Naoto Tokuyama, Vaishnavi Putcha, et al.
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