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

Tri-Culture System Reveals an Activation Cascade From Microglia Through Astrocytes to Neurons During Neuroinflammation

三元培养系统揭示了神经炎症期间从小胶质细胞经星形胶质细胞到神经元的激活级联反应

Kobayashi, Hayato; Kato, Hiroshi; Taniguchi, Mitsuho; Endoh-Yamagami, Setsu

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

Posture-Dependent STEMI Due to Extrinsic Compression of the Right Coronary Artery

体位依赖性ST段抬高型心肌梗死(STEMI)由右冠状动脉外压迫引起

Kato, So; Nakai, Yusaku; Ichikawa, Taiga; Takada, Ryuji; Ota, Keisuke; Inoue, Mitsuho; Takano, Keiko; Maejima, Nobuhiko; Tsukahara, Kengo

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

Applying deep learning-based ensemble model to [(18)F]-FDG-PET-radiomic features for differentiating benign from malignant parotid gland diseases

将基于深度学习的集成模型应用于[(18)F]-FDG-PET放射组学特征,以区分腮腺良恶性疾病

Nakajo, Masatoyo; Hirahara, Daisuke; Jinguji, Megumi; Hirahara, Mitsuho; Tani, Atsushi; Nagano, Hiromi; Takumi, Koji; Kamimura, Kiyohisa; Kanzaki, Fumiko; Yamashita, Masaru; Yoshiura, Takashi

Electron density derived from dual-energy CT for predicting thrombolytic therapeutic efficacy in patients with pulmonary embolism

利用双能CT衍生的电子密度预测肺栓塞患者的溶栓治疗效果

Nagano, Hiroaki; Takumi, Koji; Nagano, Erina; Nakanosono, Ryota; Nakajo, Masatoyo; Kamimura, Kiyohisa; Nakajo, Masanori; Kanzaki, Fumiko; Ejima, Fumitaka; Ayukawa, Takuro; Hasegawa, Tomohito; Nakano, Tsubasa; Hirahara, Mitsuho; Yoshiura, Takashi

Machine learning-based prognostic modeling in gallbladder cancer using clinical data and pre-treatment [(18)F]-FDG-PET-radiomic features

基于机器学习的胆囊癌预后模型,利用临床数据和治疗前[(18)F]-FDG-PET放射组学特征

Nakajo, Masatoyo; Hirahara, Daisuke; Jinguji, Megumi; Idichi, Tetsuya; Hirahara, Mitsuho; Tani, Atsushi; Takumi, Koji; Kamimura, Kiyohisa; Ohtsuka, Takao; Yoshiura, Takashi

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