A, C., V, S., L, B., E, G., DJ, P., G, L. C., . . . V, G. (2025). Transformer-based AI approach to unravel long-term, time-dependent prognostic complexity in patients with advanced NSCLC and PD-L1 ≥50%: Insights from the pembrolizumab 5-year global registry. Journal for immunotherapy of cancer, 13(9), . https://doi.org/10.1136/jitc-2025-012423
Chicago Style (17th ed.) CitationA, Cortellini, et al. "Transformer-based AI Approach to Unravel Long-term, Time-dependent Prognostic Complexity in Patients with Advanced NSCLC and PD-L1 ≥50%: Insights from the Pembrolizumab 5-year Global Registry." Journal for Immunotherapy of Cancer 13, no. 9 (2025). https://doi.org/10.1136/jitc-2025-012423.
MLA (9th ed.) CitationA, Cortellini, et al. "Transformer-based AI Approach to Unravel Long-term, Time-dependent Prognostic Complexity in Patients with Advanced NSCLC and PD-L1 ≥50%: Insights from the Pembrolizumab 5-year Global Registry." Journal for Immunotherapy of Cancer, vol. 13, no. 9, 2025, https://doi.org/10.1136/jitc-2025-012423.
