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

Gompertz growth with a shared carrying capacity optimally simulates primary and metastatic tumor growth dynamics

具有共享承载能力的 Gompertz 生长模型能够最优地模拟原发性和转移性肿瘤的生长动力学。

Schlicke, Pirmin; Korangath, Preethi; Pan, Xiaoxi; Ercan, Caner; Gabrielson, Kathleen; Werhane, Lyndsey; Yuan, Yinyin; Benzekry, Sébastien; Ivkov, Robert; Enderling, Heiko

The future of mathematical oncology in the age of AI

人工智能时代数学肿瘤学的未来

Rockne, Russell C; Andersen, Morten; Anderson, Alexander R A; Basanta, David; Bentivegna, Angela; Benzekry, Sebastien; Branciamore, Sergio; Brüningk, Sarah C; Conte, Martina; Farahpour, Farnoush; Karolak, Aleksandra; Köhn-Luque, Alvaro; Lorenzo, Guillermo; Manookian, Babgen; Rodin, Andrei S; Schmalenstroer, Lara; Soler, Juan; Tomasetti, Cristian; Urbaniak, Konstancja

Acquired resistance to PD-L1 inhibition enhances a type I IFN-regulated secretory program in tumors

获得性PD-L1抑制剂耐药性增强了肿瘤中I型干扰素调节的分泌程序

Yuhao Shi ,Amber McKenery ,Melissa Dolan ,Michalis Mastri ,James W Hill ,Adam Dommer ,Sebastien Benzekry ,Mark Long ,Scott I Abrams ,Igor Puzanov ,John M L Ebos

Mechanistic Learning for Predicting Survival Outcomes in Head and Neck Squamous Cell Carcinoma

利用机制学习预测头颈部鳞状细胞癌的生存结果

Atsou, Kevin; Auperin, Anne; Guigay, Jôel; Salas, Sébastien; Benzekry, Sebastien

Optimizing First-Line Therapeutics in Non-Small Cell Lung Cancer: Insights From Joint Modeling and Large-Scale Data Analysis

优化非小细胞肺癌一线治疗方案:来自联合建模和大规模数据分析的启示

Schneider, Benjamin K; Benzekry, Sebastien; Mochel, Jonathan P

A senescence-mimicking (senomimetic) VEGFR TKI side-effect primes tumor immune responses via IFN/STING signaling

衰老模拟(拟衰老)VEGFR TKI 的副作用通过 IFN/STING 信号通路启动肿瘤免疫反应

Melissa Dolan ,Yuhao Shi ,Michalis Mastri ,Mark D Long ,Amber McKenery ,James W Hill ,Cristina Vaghi ,Sebastien Benzekry ,Joseph Barbi ,John M L Ebos

Lack of Prophylactic Cranial Irradiation for Extensive Small-Cell Lung Cancer in Real Life, with the Emergence of Immunotherapy

现实生活中,广泛性小细胞肺癌缺乏预防性颅脑照射,而免疫疗法的出现改变了这一现状。

Daumas, Alice; Bigarre, Celestin; Boucekine, Mohamed; Zaccariotto, Audrey; Kaeppelin, Bertrand; Mogenet, Alice; Gouton, Etienne; Pluvy, Johan; Tomasini, Pascale; Muracciole, Xavier; Benzekry, Sebastien; Greillier, Laurent; Padovani, Laetitia

Machine-learning and mechanistic modeling of metastatic breast cancer after neoadjuvant treatment

新辅助治疗后转移性乳腺癌的机器学习和机制建模

Sebastien Benzekry ,Michalis Mastri ,Chiara Nicolò ,John M L Ebos

Reuniting philosophy and science to advance cancer research

将哲学与科学相结合,以推进癌症研究

Pradeu, Thomas; Daignan-Fornier, Bertrand; Ewald, Andrew; Germain, Pierre-Luc; Okasha, Samir; Plutynski, Anya; Benzekry, Sébastien; Bertolaso, Marta; Bissell, Mina; Brown, Joel S; Chin-Yee, Benjamin; Chin-Yee, Ian; Clevers, Hans; Cognet, Laurent; Darrason, Marie; Farge, Emmanuel; Feunteun, Jean; Galon, Jérôme; Giroux, Elodie; Green, Sara; Gross, Fridolin; Jaulin, Fanny; Knight, Rob; Laconi, Ezio; Larmonier, Nicolas; Maley, Carlo; Mantovani, Alberto; Moreau, Violaine; Nassoy, Pierre; Rondeau, Elena; Santamaria, David; Sawai, Catherine M; Seluanov, Andrei; Sepich-Poore, Gregory D; Sisirak, Vanja; Solary, Eric; Yvonnet, Sarah; Laplane, Lucie

Practical identifiability analysis of a mechanistic model for the time to distant metastatic relapse and its application to renal cell carcinoma

对远处转移复发时间机制模型的实用可识别性分析及其在肾细胞癌中的应用

Álvarez-Arenas, Arturo; Souleyreau, Wilfried; Emanuelli, Andrea; Cooley, Lindsay S; Bernhard, Jean-Christophe; Bikfalvi, Andreas; Benzekry, Sebastien