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

Delivering precision oncology in metastatic breast cancer: Clinical impact of comprehensive genomic profiling-The CATCH experience

在转移性乳腺癌中实现精准肿瘤治疗:全面基因组分析的临床影响——CATCH 经验

Hlevnjak, Mario; Heublein, Sabine; Thewes, Verena; Wagener, Lukas; Pixberg, Constantin; Fremd, Carlo; Michel, Laura; Maurer, Christian; Buschhorn, Lars; Dikow, Nicola; Feng, Fangyoumin; Fröhling, Stefan; Herold-Mende, Christel; Hirsch, Steffen; Hong, Chen; Hübschmann, Daniel; Jassowicz, Lena; Kozyulina, Polina; Pfütze, Katrin; Schlenk, Richard F; Sinn, Hans-Peter; Smetanay, Katharina; Springfeld, Christoph; Stenzinger, Albrecht; Wagner, Celina; Wolf, Stephan; Trumpp, Andreas; Jäger, Dirk; Zivanovic, Oliver; Zapatka, Marc; Schneeweiss, Andreas; Lichter, Peter

Computational framework for prioritizing candidate compounds overcoming the resistance of pancancer immunotherapy.

用于优先筛选能够克服泛癌免疫疗法耐药性的候选化合物的计算框架

Feng Fangyoumin, He Tian, Lin Ping, Hu Jinwu, Shen Bihan, Tang Zhixuan, Zhou Jian, Fan Jia, Hu Bo, Li Hong

COGNITION-GUIDE - Genomics-Guided Targeted Post-Neoadjuvant Therapy in Patients with Early Breast Cancer: Study Design of a Multicenter, Open-Label, Umbrella Phase II Study

认知指南——基因组学指导的早期乳腺癌患者新辅助后靶向治疗:一项多中心、开放标签、伞式II期研究的研究设计

Pixberg, Constantin; Maurer, Christian; Smetanay, Katharina; Straßl, Luise; Hlevnjak, Mario; Zapatka, Marc; Wagner, Celina V; Yazdanparast, Haniyeh; Kurzawa, Johanna; Erben, Vanessa; Feng, Fangyoumin; Hong, Chen; Hübschmann, Daniel; Buschhorn, Lars; Suppelna, Jan Philip; Michel, Laura; Heublein, Sabine; Fremd, Carlo; Zivanovic, Oliver; Sinn, Peter; Stenzinger, Albrecht; Haidinger, Renate; Schumacher-Wulf, Eva; Ditsch, Nina; Loibl, Sibylle; Fröhling, Stefan; Link, Theresa; Wimberger, Pauline; Blohmer, Jens-Uwe; Huebner, Hanna; Fasching, Peter A; Janni, Wolfgang; Schlenk, Richard F; Thewes, Verena; Lichter, Peter; Schneeweiss, Andreas

A disentangled generative model for improved drug response prediction in patients via sample synthesis

通过样本合成构建用于改进患者药物反应预测的解耦生成模型

Li, Kunshi; Shen, Bihan; Feng, Fangyoumin; Li, Xueliang; Wang, Yue; Feng, Na; Tang, Zhixuan; Ma, Liangxiao; Li, Hong

Dual-view jointly learning improves personalized drug synergy prediction

双视角联合学习可提高个性化药物协同作用预测的准确性

Li, Xueliang; Shen, Bihan; Feng, Fangyoumin; Li, Kunshi; Tang, Zhixuan; Ma, Liangxiao; Li, Hong