Dr. Hamamoto Laboratory (NCC Japan Official)
@HamamotoLab
Official account of the NCC Japan approved in December 2025. Dr. Ryuji Hamamoto, Division Chief (NCC)/Team Director (RIKEN)/Professor of NCC Medical Science.
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We introduce on our lab website the achievements of medical AI research that has been clinically implemented and commercialized, mainly led by our laboratory. Please visit the site if you’re interested. ncc.go.jp/en/ri/division…
Dr. Hamamoto attended and gave a presentation at the G7 Cancer Conference held in Paris last June as a representative of the National Cancer Center Japan. In addition, he has now been appointed Vice Chair (Artificial Intelligence Portfolio) of the G7 Science Committee. Together…
We would like to introduce the results of a multicenter collaborative study in which our laboratory participated, published in eBioMedicine in June last year. In this study, we conducted a case–control analysis using a Japanese multicenter, hospital-based registry, including…
We would like to introduce our paper published in npj Breast Cancer last November. This work was conducted as part of a collaborative research project with Dr. Takashi Kohno and Dr. Kouya Shiraishi of the Division of Genome Biology, NCCRI, and we received generous support from…
Our laboratory’s collaborative research with the Department of Breast Surgery at the National Cancer Center Hospital has been published in Breast Cancer. This study was led primarily by Dr. Nobuji Kouno from our laboratory and demonstrated that PREDICT is a useful prognostic…
Findings from our collaborative research with the Division of Thoracic Surgery at Kindai University and the Department of Thoracic Surgery at the National Cancer Center Hospital have been published in Cancer Research Communications. In this study, we investigated genetic factors…
A paper by Dr. Masaaki Komatsu (Deputy Team Director of our lab) and his wife, Dr. Reina Komatsu (an obstetrician-gynecologist at Showa Medical University), has been accepted for publication in Bioengineering. The AI model we developed can help less-experienced examiners identify…
We collaboratively developed a recurrence prediction model for stage I EGFR-mutant non–small cell lung cancer (NSCLC) together with the Department of Thoracic Oncology at the National Cancer Center Hospital, using clinical data, imaging data, and whole-exome sequencing (WES)…
Our systematic review article published in the Journal of Medical Systems reached 185 citations on Google Scholar during 2025. In addition, it was recognized as a Highly Cited Paper by Web of Science. As it compares Vision Transformers and Convolutional Neural Networks for…
Our review article has been published in IEEE Reviews in Biomedical Engineering. ieeexplore.ieee.org/document/11320… We obtained regulatory approval for our fetal cardiac ultrasound diagnostic support AI in July 2024, ahead of the rest of the world, and have been applying it clinically.
We have demonstrated the importance of ERBB2 in lung adenocarcinoma using large-scale lung cancer omics data. The results were published in Molecular Cancer. link.springer.com/article/10.118…
We published the results of our collaborative research in Nature Communications. nature.com/articles/s4146…
We published the results of our collaborative research in Nature Communications. nature.com/articles/s4146…
Results from the analysis of large-scale omics data on lung cancer have been published in Molecular Cancer. link.springer.com/article/10.118…
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