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Time-to-progression in breast cancer: a stratification model for clinical trials.
de la Haba-Rodríguez J, Aranda E, Llombart A, Lluch A, Alba E, Munárriz B, Adrover E, Tusquets I, Balil A, Barnadas A, Calvo L, Martín M; Grupo Español de Investigación en Cáncer de Mama (GEICAM). de la Haba-Rodríguez J, et al. Among authors: alba e. Breast. 2008 Jun;17(3):239-44. doi: 10.1016/j.breast.2007.09.007. Epub 2007 Nov 26. Breast. 2008. PMID: 18042386
Machine learning and natural language processing (NLP) approach to predict early progression to first-line treatment in real-world hormone receptor-positive (HR+)/HER2-negative advanced breast cancer patients.
Ribelles N, Jerez JM, Rodriguez-Brazzarola P, Jimenez B, Diaz-Redondo T, Mesa H, Marquez A, Sanchez-Muñoz A, Pajares B, Carabantes F, Bermejo MJ, Villar E, Dominguez-Recio ME, Saez E, Galvez L, Godoy A, Franco L, Ruiz-Medina S, Lopez I, Alba E. Ribelles N, et al. Among authors: alba e. Eur J Cancer. 2021 Feb;144:224-231. doi: 10.1016/j.ejca.2020.11.030. Epub 2020 Dec 26. Eur J Cancer. 2021. PMID: 33373867
339 results