Natural language processing-based detection of transgender and gender non-conforming patients in electronic health record-derived data Published May 2021 Citation Hooley, IJ, Maignan, K, Ngai, D, Ackerman, B. . ISPOR Annual Meeting. . https://www.ispor.org/heor-resources/presentations-database/presentation/intl2021-3338/109635 Authors:Hooley, IJ, Maignan, K, Ngai, D, Ackerman, B Sources:ISPOR Annual Meeting Share Posted inPublicationsMachine learningHealth equity More publicationsJSMO Annual MeetingMarch 2026Japanese language EHR LLM extraction of longitudinal unstructured ECOG performance statusAdamson B, Zhang Y, Chamby A, et al.Publication summaryPublicationsMachine learningArtificial intelligenceSABCSDecember 2025Racial/ethnic inequities in access to novel therapies and outcomes in triple negative breast cancerMbah O, Ho G, Keane C, Dolor A, Ryals C.Publication summaryPublicationsHealth equityBreast cancerESMO 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 learning