There are 449 resources available
84P - The predictive and prognostic value of tumor infiltrating lymphocytes in advanced non-small cell lung cancer
Presenter: Mai Eissa
Session: Poster Display session
85P - NSCLC-Pro ClustAI: A machine learning model to prognostically stratify patients with advanced NSCLC treated with immune checkpoint inhibitors
Presenter: Valeria Cognigni
Session: Poster Display session
86P - Artificial intelligence tools to predict early progression of non-small cell lung cancer patients treated with immunotherapy: Preliminary evidence from a single-centre experience of black-box and white-box models pairing
Presenter: Francesca Rita Ogliari
Session: Poster Display session
87P - An artificial neural network system to predict the response to sintilimab based on the RNA data of ORIENT-3 study
Presenter: Tongji Xie
Session: Poster Display session
88P - Longitudinal analysis of PD-L1 expression in patients with relapsed NSCLC
Presenter: Verena Schlintl
Session: Poster Display session
89P - Predictors of real-world (rw) outcomes in patients (pts) with advanced/metastatic (a/m) non-small cell lung cancer (NSCLC) treated with pembrolizumab-based maintenance (MT)
Presenter: Vamsidhar Velcheti
Session: Poster Display session
90P - Real-world (RW) post-progression outcomes and treatment (tx) patterns after first-line (1L) immuno-oncology (IO) regimens in patients (pts) with metastatic (m) NSCLC: CORRELATE
Presenter: Stephen Liu
Session: Poster Display session
91P - Observational retro-prospective study on immune checkpoint inhibitors (ICIs) treatment duration in patients with advanced non-small cell lung cancer (aNSCLC) (I-STOP study)
Presenter: Maria Gemelli
Session: Poster Display session
92P - A novel R-code approach for efficient irAE identification from medical records of NSCLC patients treated with ICIs
Presenter: Barliz Waissengrin
Session: Poster Display session