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

Artificial Intelligence-Based Automated Assessment of the Four-Chamber View in Fetal Cardiac Ultrasound Videos

基于人工智能的胎儿心脏超声视频四腔切面自动评估

Teraya, Naoki; Komatsu, Masaaki; Takeda, Katsuji; Shozu, Kanto; Harada, Naoaki; Komatsu, Reina; Sakai, Akira; Aoyama, Rina; Kaneko, Mayumi; Asada, Ken; Kaneko, Syuzo; Iwamoto, Kazuki; Nakashima, Akitoshi; Matsuoka, Ryu; Sekizawa, Akihiko; Hamamoto, Ryuji

Deciphering RNA and protein expression discordance identifies TOP2A as a prognostic biomarker and potential therapeutic target in lung adenocarcinoma

RNA和蛋白质表达差异的解析表明,TOP2A是肺腺癌的预后生物标志物和潜在治疗靶点。

Miyabe, Mika; Arimitsu, Shuntaro; Bolatkan, Amina; Machino, Hidenori; Hamamoto, Ryuji; Asada, Ken

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

Rare genetic variants involved in increased risk of paroxysmal atrial fibrillation in a Japanese population.

日本人群中与阵发性房颤风险增加相关的罕见基因变异

Tabata Kanji, Sudo Takeaki, Nagata Yuki, Ihara Kensuke, Asada Ken, Kinoshita Atsuhiro, Tanaka Yasuaki, Yamauchi Yasuteru, Sasaki Takeshi, Hachiya Hitoshi, Imai Yasushi, Fujita Hideo, Sasano Tetsuo, Furukawa Tetsushi, Iwata Takanori, Tanaka Toshihiro

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

Multi-omics and clustering analyses reveal the mechanisms underlying unmet needs for patients with lung adenocarcinoma and identify potential therapeutic targets

多组学和聚类分析揭示了肺腺癌患者未满足需求的潜在机制,并识别出潜在的治疗靶点。

Asada, Ken; Kaneko, Syuzo; Takasawa, Ken; Shiraishi, Kouya; Shinkai, Norio; Shimada, Yoko; Takahashi, Satoshi; Machino, Hidenori; Kobayashi, Kazuma; 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; 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

Automated Assessment of the Pulmonary Artery-to-Ascending Aorta Ratio in Fetal Cardiac Ultrasound Screening Using Artificial Intelligence

利用人工智能自动评估胎儿心脏超声筛查中肺动脉与升主动脉比值

Aoyama, Rina; Komatsu, Masaaki; Harada, Naoaki; Komatsu, Reina; Sakai, Akira; Takeda, Katsuji; Teraya, Naoki; Asada, Ken; Kaneko, Syuzo; Iwamoto, Kazuki; Matsuoka, Ryu; Sekizawa, Akihiko; Hamamoto, Ryuji