OA09.02 I3LUNG-PDSS: A Multimodal AI-Based Clinical Decision Support System for Predicting Immunotherapy Efficacy in Metastatic NSCLC
2025 · Journal of Thoracic Oncology · 0 citations
https://doi.org/10.1016/j.jtho.2025.09.059
B
B. Guirges
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B. Guirges is an academic researcher from Fondazione IRCCS Istituto Nazionale dei Tumori. The author has contributed to research in topics: Radiomics and Machine Learning in Medical Imaging & Cancer Immunotherapy and Biomarkers & Lung Cancer Diagnosis and Treatment. The author has an h-index of 1, co-authored 15 publications.
Papers by this author
worksP1.11.66 Cost-Effective Machine Learning for Predicting Survival in NSCLC Patients on Immunotherapy: Insights From the APOLLO11 Study
2025 · Journal of Thoracic Oncology · 0 citations
https://doi.org/10.1016/j.jtho.2025.09.366
P2.06.65 An Ensemble Approach to Predict Three-Class PD-L1 Expression From H&E Whole-Slide Images
2025 · Journal of Thoracic Oncology · 0 citations
https://doi.org/10.1016/j.jtho.2025.09.599
P1.17.30 Deep Learning-Based Lung Tumor Segmentation for Survival Prediction in NSCLC Patients
2025 · Journal of Thoracic Oncology · 0 citations
https://doi.org/10.1016/j.jtho.2025.09.415
MA06.07 Benchmarking CT Foundation Models for Survival Prediction in NSCLC Patients
2025 · Journal of Thoracic Oncology · 0 citations
https://doi.org/10.1016/j.jtho.2025.09.145
P2.15.34 Prompting and Medical Expertise Influence Large Language Model in Clinical Data Extraction: Findings From the APOLLO 11 Trial
2025 · Journal of Thoracic Oncology · 0 citations
https://doi.org/10.1016/j.jtho.2025.09.745
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