日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Implementing generative artificial intelligence in precision oncology: safety, governance, and significance

在精准肿瘤学中应用生成式人工智能:安全性、治理和意义

Hamamoto, Ryuji; Koyama, Takafumi; Takahashi, Satoshi; Yasuda, Tomohiro; Kobayashi, Kazuma; Akagi, Yu; Kouno, Nobuji; Sudo, Kazuki; Hirata, Makoto; Sunami, Kuniko; Kubo, Takashi; Katayama, Hiroshi; Takashima, Atsuo; Taniguchi, Tomonori; Matsumoto, Hiromi; Shibaki, Ryota; Asada, Ken; Komatsu, Masaaki; Kaneko, Syuzo; Yamada, Masayoshi; Horinouchi, Hidehito; Tanaka, Katsuya; Goto, Yasushi; Kato, Ken; Saito, Yutaka; Nakamura, Kenichi; Yamamoto, Noboru

Validation of the postoperative prognostication tool PREDICT version 2.2 and 3.0 using data from the National cancer center hospital in Japan

利用日本国立癌症中心医院的数据验证术后预后工具 PREDICT 2.2 版和 3.0 版

Hashiguchi, Hiromi; Kouno, Nobuji; Komatsu, Masaaki; Shiino, Sho; Takehara, Naoto; Takeda, Katsuji; Takahashi, Satoshi; Hsiao, Yi-Wen; Murata, Takeshi; Obama, Kazutaka; Takayama, Shin; Pharoah, Paul D P; Hamamoto, Ryuji

Full-Thickness Skin Transplantation Combined with Negative-Pressure Wound Therapy for a Refractory Peristomal Large Skin Ulcer Caused by Mucocutaneous Separation: A Case Report

全层皮肤移植联合负压伤口治疗治疗黏膜皮肤分离引起的难治性造口周围大面积皮肤溃疡:病例报告

Okita, Atsushi; Watanabe, Toshiyuki; Nakagawa, Mari; Ogino, Kaori; Hashida, Shinsuke; Tsukuda, Kazunori; Yokoyama, Nobuji

Establishment of a machine learning model for predicting splenic hilar lymph node metastasis

建立用于预测脾门淋巴结转移的机器学习模型

Ishizu, Kenichi; Takahashi, Satoshi; Kouno, Nobuji; Takasawa, Ken; Takeda, Katsuji; Matsui, Kota; Nishino, Masashi; Hayashi, Tsutomu; Yamagata, Yukinori; Matsui, Shigeyuki; Yoshikawa, Takaki; Hamamoto, Ryuji

Current status and future direction of cancer research using artificial intelligence for clinical application

人工智能在癌症临床应用中的研究现状及未来方向

Hamamoto, Ryuji; Komatsu, Masaaki; Yamada, Masayoshi; Kobayashi, Kazuma; Takahashi, Masamichi; Miyake, Mototaka; Jinnai, Shunichi; Koyama, Takafumi; Kouno, Nobuji; Machino, Hidenori; Takahashi, Satoshi; Asada, Ken; Ueda, Naonori; Kaneko, Syuzo

SEgene identifies links between super enhancers and gene expression across cell types

SEgene 识别出细胞类型中超级增强子与基因表达之间的联系

Shinkai, Norio; Asada, Ken; Machino, Hidenori; Takasawa, Ken; Takahashi, Satoshi; Kouno, Nobuji; Komatsu, Masaaki; Hamamoto, Ryuji; Kaneko, Syuzo

Mechanism of ERBB2 gene overexpression by the formation of super-enhancer with genomic structural abnormalities in lung adenocarcinoma without clinically actionable genetic alterations

ERBB2基因过表达的机制:通过形成超级增强子和基因组结构异常,在肺腺癌中导致ERBB2基因过表达,但无临床可操作的基因改变

Kaneko, Syuzo; Takasawa, Ken; Asada, Ken; Shiraishi, Kouya; Ikawa, Noriko; Machino, Hidenori; Shinkai, Norio; Matsuda, Maiko; Masuda, Mari; Adachi, Shungo; Takahashi, Satoshi; Kobayashi, Kazuma; Kouno, Nobuji; Bolatkan, Amina; Komatsu, Masaaki; Yamada, Masayoshi; Miyake, Mototaka; Watanabe, Hirokazu; Tateishi, Akiko; Mizuno, Takaaki; Okubo, Yu; Mukai, Masami; Yoshida, Tatsuya; Yoshida, Yukihiro; Horinouchi, Hidehito; Watanabe, Shun-Ichi; Ohe, Yuichiro; Yatabe, Yasushi; Saloura, Vassiliki; Kohno, Takashi; Hamamoto, Ryuji

Advances in cancer DNA methylation analysis with methPLIER: use of non-negative matrix factorization and knowledge-based constraints to enhance biological interpretability

利用methPLIER进行癌症DNA甲基化分析的进展:使用非负矩阵分解和基于知识的约束来增强生物学可解释性

Takasawa, Ken; Asada, Ken; Kaneko, Syuzo; Shiraishi, Kouya; Machino, Hidenori; Takahashi, Satoshi; Shinkai, Norio; Kouno, Nobuji; Kobayashi, Kazuma; Komatsu, Masaaki; Mizuno, Takaaki; Okubo, Yu; Mukai, Masami; Yoshida, Tatsuya; Yoshida, Yukihiro; Horinouchi, Hidehito; Watanabe, Shun-Ichi; Ohe, Yuichiro; Yatabe, Yasushi; Kohno, Takashi; Hamamoto, Ryuji

Introduction of AI Technology for Objective Physical Function Assessment

人工智能技术在客观身体功能评估中的应用

Kouno, Nobuji; Takahashi, Satoshi; Komatsu, Masaaki; Sakaguchi, Yusuke; Ishiguro, Naoaki; Takeda, Katsuji; Fujioka, Kyoko; Matsuoka, Ayumu; Fujimori, Maiko; Hamamoto, Ryuji

Analysis of Inertial Measurement Unit Data for an AI-Based Physical Function Assessment System Using In-Clinic-like Movements

利用模拟临床运动的惯性测量单元数据分析,构建基于人工智能的身体功能评估系统

Kouno, Nobuji; Takahashi, Satoshi; Takasawa, Ken; Komatsu, Masaaki; Ishiguro, Naoaki; Takeda, Katsuji; Matsuoka, Ayumu; Fujimori, Maiko; Yokoyama, Kazuki; Yamamoto, Shun; Honma, Yoshitaka; Kato, Ken; Obama, Kazutaka; Hamamoto, Ryuji