Real-world outcomes of advanced NSCLC patients with common and uncommon/complex EGFR mutation profiles Published September 2019 Citation Riely, GJ, Lovly, CM, Messina, CGM, Bienert, S, Alexander, K, Pao, W, Magee, K, Baxi, SS, Doebele, RC. . World Conference on Lung Cancer. . Authors:Riely, GJ, Lovly, CM, Messina, CGM, Bienert, S, Alexander, K, Pao, W, Magee, K, Baxi, SS, Doebele, RC Sources:World Conference on Lung Cancer Share Posted inPublicationsUnmet need More publicationsESMO AI & Digital OncologyNovember 2025Survival prediction in advanced NSCLC (aNSCLC) amid evolving standards of care (SOC): Digital twin modeling incorporating LLM-extracted clinical contextEstevez M, Griffith S, Williams T, et al.Publication summaryPublicationsMachine learningESMO AI & Digital OncologyNovember 2025A pan-tumor and pan-country approach to LLM-based extraction of systemic therapies from the electronic health recordViani N, Groizard L, Harrison K, et al. Publication summaryPublicationsMachine learningTumor agnosticData managementESMO AI & Digital OncologyNovember 2025Structuring GDPR-compliant private networks to enable LLM-Extracted oncology data on pseudonymized patient EHR data in EuropeEllsworth L, Groizard L, Stefan F, et al.Publication summaryPublicationsData scienceMachine learning