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

Prognostic Biomarkers and Immunotherapeutic Insights of Circulating Tumor DNA Analysis in Advanced Esophageal Squamous Cell Carcinoma From SCRUM-MONSTAR GOZILA Substudy

来自 SCRUM-MONSTAR GOZILA 子研究的循环肿瘤 DNA 分析在晚期食管鳞状细胞癌中的预后生物标志物和免疫治疗意义

Duan, Yuqing; Hashimoto, Tadayoshi; Shibuki, Taro; Taniguchi, Hiroya; Sunakawa, Yu; Komatsu, Yoshito; Takahashi, Naoki; Sato, Yuta; Yamaguchi, Kensei; Nishina, Tomohiro; Nakanoko, Tomonori; Boku, Shogen; Satoh, Taroh; Yasui, Hisateru; Esaki, Taito; Imai, Mitsuho; Fujisawa, Takao; Nakamura, Yoshiaki; Bando, Hideaki; Yoshino, Takayuki

Clinical development of molecular residual disease (MRD) and multi-cancer early detection (MCED) using liquid biopsy multiomics with artificial intelligence (AI)

利用液体活检多组学和人工智能 (AI) 进行分子残留病灶 (MRD) 和多癌早期检测 (MCED) 的临床开发

Shibuki, Taro; Yamashita, Riu; Hashimoto, Tadayoshi; Fujisawa, Takao; Imai, Mitsuho; Yuda, Junichiro; Kuwata, Takeshi; Misumi, Toshihiro; Nakamura, Yoshiaki; Bando, Hideaki; Kojima, Kaname; Tokioka, Sayuri; Chiba, Ippei; Nakaya, Naoki; Hozawa, Atsushi; Koshiba, Seizo; Fuse, Nobuo; Saito, Sakae; Shimizu, Ritsuko; Park, Woong-Yang; Kinoshita, Kengo; Yoshino, Takayuki

Artificial Intelligence-Powered Human Epidermal Growth Factor Receptor 2 and Tumor Microenvironment Analysis in Human Epidermal Growth Factor Receptor 2-Amplified Metastatic Colorectal Cancer: Exploratory Analysis of Phase II TRIUMPH Trial

人工智能驱动的人表皮生长因子受体2和肿瘤微环境分析在人表皮生长因子受体2扩增的转移性结直肠癌中的应用:TRIUMPH II期试验的探索性分析

Imai, Mitsuho; Nakamura, Yoshiaki; Shin, Sangwon; Okamoto, Wataru; Kato, Takeshi; Esaki, Taito; Kato, Ken; Komatsu, Yoshito; Yuki, Satoshi; Masuishi, Toshiki; Nishina, Tomohiro; Sawada, Kentaro; Sato, Akihiro; Kuwata, Takeshi; Yamashita, Riu; Fujisawa, Takao; Bando, Hideaki; Ock, Chan-Young; Fujii, Satoshi; Yoshino, Takayuki

Landscape Analysis of CLDN18 Expression and Isoform Distribution in Solid Tumors: Insights From MONSTAR-SCREEN-2 Study.

实体瘤中 CLDN18 表达和亚型分布的景观分析:来自 MONSTAR-SCREEN-2 研究的启示

Hashimoto Tadayoshi, Iida Naoko, Nakamura Yoshiaki, Nonomura Norio, Morizane Chigusa, Iwata Hiroji, Okano Susumu, Yamagami Wataru, Yamazaki Naoya, Kadowaki Shigenori, Ueno Makoto, Boku Shogen, Oki Eiji, Komatsu Yoshito, Yuki Satoshi, Makiyama Akitaka, Ogata Takatsugu, Takahashi Naoki, Okano Naohiro, Nishina Tomohiro, Sakamoto Naoya, Kuwata Takeshi, Yamashita Riu, Shibuki Taro, Imai Mitsuho, Fujisawa Takao, Bando Hideaki, Shitara Kohei, Yoshino Takayuki

SpatialKNifeY (SKNY): Extending from spatial domain to surrounding area to identify microenvironment features with single-cell spatial omics data

SpatialKNifeY (SKNY):从空间域扩展到周围区域,利用单细胞空间组学数据识别微环境特征

Sakai, Shunsuke A; Nomura, Ryosuke; Nagasawa, Satoi; Chi, SungGi; Suzuki, Ayako; Suzuki, Yutaka; Imai, Mitsuho; Nakamura, Yoshiaki; Yoshino, Takayuki; Ishikawa, Shumpei; Tsuchihara, Katsuya; Kageyama, Shun-Ichiro; Yamashita, Riu

A prospective study comparing highly qualified Molecular Tumor Boards with AI-powered software as a medical device

一项前瞻性研究比较了高素质分子肿瘤委员会与人工智能驱动的软件作为医疗设备的效果。

Bando, Hideaki; Naito, Yoichi; Yamada, Tomoyuki; Fujisawa, Takao; Imai, Mitsuho; Sakamoto, Yasutoshi; Saigusa, Yusuke; Yamamoto, Kouji; Tomioka, Yutaka; Takeshita, Nobuyoshi; Sunami, Kuniko; Futamura, Megumi; Notake, Chiemi; Aoki, Satoko; Okano, Kazunori; Yoshino, Takayuki

Physical activity and cancer biology: a narrative review of molecular mechanisms and introduction of the SCRUM-MONSTAR LIFELOG study

体育活动与癌症生物学:分子机制的叙述性综述及SCRUM-MONSTAR LIFELOG研究介绍

Yajima, Shugo; Kobayashi, Shin; Hashimoto, Tadayoshi; Nakamura, Yoshiaki; Yamashita, Riu; Misumi, Toshihiro; Sakamoto, Yasutoshi; Horasawa, Satoshi; Fujisawa, Takao; Imai, Mitsuho; Shibuki, Taro; Tsukada, Yuichiro; Bando, Hideaki; Masuda, Hitoshi; Yoshino, Takayuki

Transforming cancer screening: the potential of multi-cancer early detection (MCED) technologies

变革癌症筛查:多癌种早期检测(MCED)技术的潜力

Imai, Mitsuho; Nakamura, Yoshiaki; Yoshino, Takayuki

The SCRUM-MONSTAR Cancer-Omics Ecosystem: Striving for a Quantum Leap in Precision Medicine

SCRUM-MONSTAR癌症组学生态系统:力求在精准医学领域实现质的飞跃

Hashimoto, Tadayoshi; Nakamura, Yoshiaki; Fujisawa, Takao; Imai, Mitsuho; Shibuki, Taro; Iida, Naoko; Ozaki, Hiroshi; Nonomura, Norio; Morizane, Chigusa; Iwata, Hiroji; Okano, Susumu; Yamagami, Wataru; Yamazaki, Naoya; Kadowaki, Shigenori; Taniguchi, Hiroya; Ueno, Makoto; Boku, Shogen; Oki, Eiji; Komatsu, Yoshito; Yuki, Satoshi; Makiyama, Akitaka; Otsuka, Tomoyuki; Hara, Hiroki; Okano, Naohiro; Nishina, Tomohiro; Sakamoto, Yasutoshi; Miki, Izumi; Kobayashi, Shin; Yuda, Junichiro; Kageyama, Shun-Ichiro; Nagamine, Michiko; Sakashita, Shingo; Sakamoto, Naoya; Yamashita, Riu; Koga, Yoshikatsu; Bando, Hideaki; Ishii, Genichiro; Kuwata, Takeshi; Park, Woong-Yang; Ohtsu, Atsushi; Yoshino, Takayuki

A Learning Program for Treatment Recommendations by Molecular Tumor Boards and Artificial Intelligence

分子肿瘤委员会和人工智能治疗建议学习计划

Sunami, Kuniko; Naito, Yoichi; Saigusa, Yusuke; Amano, Toraji; Ennishi, Daisuke; Imai, Mitsuho; Kage, Hidenori; Kanai, Masashi; Kenmotsu, Hirotsugu; Komine, Keigo; Koyama, Takafumi; Maeda, Takahiro; Morita, Sachi; Sakai, Daisuke; Hirata, Makoto; Ito, Mamoru; Kozuki, Toshiyuki; Sakashita, Hiroyuki; Horinouchi, Hidehito; Okuma, Yusuke; Takashima, Atsuo; Kubo, Toshio; Hironaka, Shuichi; Segawa, Yoshihiko; Yakushijin, Yoshihiro; Bando, Hideaki; Makiyama, Akitaka; Suzuki, Tatsuya; Kinoshita, Ichiro; Kohsaka, Shinji; Ohe, Yuichiro; Ishioka, Chikashi; Yamamoto, Kouji; Tsuchihara, Katsuya; Yoshino, Takayuki