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

Role of Fyn expression in predicting the sensitivity to platinum‑based chemotherapy in patients with ovarian serous carcinoma

Fyn 表达在预测卵巢浆液性癌患者对铂类化疗敏感性中的作用

Eijiro Uchikura, Takeshi Fukuda, Tomoki Sengiku, Takuya Noda, Yuichiro Awazu, Takuma Wada, Reiko Tasaka, Makoto Yamauchi, Tomoyo Yasui, Toshiyuki Sumi

Deep learning generates custom-made logistic regression models for explaining how breast cancer subtypes are classified

深度学习生成定制的逻辑回归模型,用于解释乳腺癌亚型的分类方式

Shibahara, Takuma; Wada, Chisa; Yamashita, Yasuho; Fujita, Kazuhiro; Sato, Masamichi; Kuwata, Junichi; Okamoto, Atsushi; Ono, Yoshimasa

TBX2 expression is associated with platinum-sensitivity of ovarian serous carcinoma

TBX2 表达与卵巢浆液性癌的铂敏感性相关

Reiko Tasaka, Takeshi Fukuda, Masahiro Shimomura, Yuta Inoue, Takuma Wada, Masaru Kawanishi, Tomoyo Yasui, Toshiyuki Sumi

UCP2 expression may represent a predictive marker of neoadjuvant chemotherapy effectiveness for locally advanced uterine cervical cancer

UCP2 表达可能作为局部晚期宫颈癌新辅助化疗效果的预测标志

Kenji Imai, Takeshi Fukuda, Takuma Wada, Masaru Kawanishi, Reiko Tasaka, Tomoyo Yasui, Toshiyuki Sumi