Preliminary qualification of a machine learning-based assessment of the tumor immune infiltrate as a predictor of outcome in patients with hepatocellular carcinoma treated with atezolizumab plus bevacizumab
初步验证基于机器学习的肿瘤免疫浸润评估方法作为阿特珠单抗联合贝伐珠单抗治疗肝细胞癌患者预后预测指标的有效性
期刊:Journal for ImmunoTherapy of Cancer
影响因子:10.6
doi:10.1136/jitc-2024-010975
Scheiner, Bernhard; Lombardi, Pasquale; D'Alessio, Antonio; Kim, Gwangil; Tafavvoghi, Masoud; Petrenko, Oleksandr; Goldin, Robert D; Fulgenzi, Claudia A M; Torkpour, Aria; Balcar, Lorenz; Mauri, Francesco A; Pomej, Katharina; Himmelsbach, Vera; Barsch, Maryam; Celsa, Ciro; Cabibbo, Giuseppe; Cheon, Jaekyung; Krall, Anja; Hucke, Florian; Di Tommaso, Luca; Bernasconi, Monica; Rimassa, Lorenza; Samson, Adel; Stefanini, Bernardo; Mozayani, Behrang; Trauner, Michael; Lackner, Carolin; Stauber, Rudolf; Vasuri, Francesco; Piscaglia, Fabio; Bengsch, Bertram; Finkelmeier, Fabian; Peck-Radosavljevic, Markus; Rasmussen Busund, Lill-Tove; Marafioti, Teresa; Rahbari, Mohammad; Heikenwalder, Mathias; Pinter, Matthias; Chon, Hong Jae; Rakaee, Mehrdad; Pinato, David J