B, S., P, L., A, D., G, K., M, T., O, P., . . . DJ, P. (2025). 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. Journal for immunotherapy of cancer, 13(10), . https://doi.org/10.1136/jitc-2024-010975
Chicago Style (17th ed.) CitationB, Scheiner, et al. "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." Journal for Immunotherapy of Cancer 13, no. 10 (2025). https://doi.org/10.1136/jitc-2024-010975.
MLA (9th ed.) CitationB, Scheiner, et al. "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." Journal for Immunotherapy of Cancer, vol. 13, no. 10, 2025, https://doi.org/10.1136/jitc-2024-010975.
