Letting the GENIE out of its bottle: examining the potential of real-world clinico-genomic data Published April 2020 Citation Castellanos, EH, Baxi, SS. . Cancer Discovery. . https://doi.org/10.1158/2159-8290.cd-20-0039 Authors:Castellanos, EH, Baxi, SS Sources:Cancer Discovery Share Posted inPublications 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