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Page 1
A Machine Learning Model Based on Tumor and Immune Biomarkers to Predict Undetectable MRD and Survival Outcomes in Multiple Myeloma.
Guerrero C, Puig N, Cedena MT, Goicoechea I, Perez C, Garcés JJ, Botta C, Calasanz MJ, Gutierrez NC, Martin-Ramos ML, Oriol A, Rios R, Hernandez MT, Martinez-Martinez R, Bargay J, de Arriba F, Palomera L, Gonzalez-Rodriguez AP, Mosquera-Orgueira A, Gonzalez-Perez MS, Martinez-Lopez J, Lahuerta JJ, Rosiñol L, Blade J, Mateos MV, San-Miguel JF, Paiva B. Guerrero C, et al. Clin Cancer Res. 2022 Jun 13;28(12):2598-2609. doi: 10.1158/1078-0432.CCR-21-3430. Clin Cancer Res. 2022. PMID: 35063966
Improved personalized survival prediction of patients with diffuse large B-cell Lymphoma using gene expression profiling.
Mosquera Orgueira A, Díaz Arias JÁ, Cid López M, Peleteiro Raíndo A, Antelo Rodríguez B, Aliste Santos C, Alonso Vence N, Bendaña López Á, Abuín Blanco A, Bao Pérez L, González Pérez MS, Pérez Encinas MM, Fraga Rodríguez MF, Bello López JL. Mosquera Orgueira A, et al. BMC Cancer. 2020 Oct 21;20(1):1017. doi: 10.1186/s12885-020-07492-y. BMC Cancer. 2020. PMID: 33087075 Free PMC article.
Survival prediction and treatment optimization of multiple myeloma patients using machine-learning models based on clinical and gene expression data.
Mosquera Orgueira A, González Pérez MS, Díaz Arias JÁ, Antelo Rodríguez B, Alonso Vence N, Bendaña López Á, Abuín Blanco A, Bao Pérez L, Peleteiro Raíndo A, Cid López M, Pérez Encinas MM, Bello López JL, Mateos Manteca MV. Mosquera Orgueira A, et al. Leukemia. 2021 Oct;35(10):2924-2935. doi: 10.1038/s41375-021-01286-2. Epub 2021 May 18. Leukemia. 2021. PMID: 34007046
Personally Tailored Survival Prediction of Patients With Follicular Lymphoma Using Machine Learning Transcriptome-Based Models.
Mosquera Orgueira A, Cid López M, Peleteiro Raíndo A, Abuín Blanco A, Díaz Arias JÁ, González Pérez MS, Antelo Rodríguez B, Bao Pérez L, Ferreiro Ferro R, Aliste Santos C, Pérez Encinas MM, Fraga Rodríguez MF, Cerchione C, Mozas P, Bello López JL. Mosquera Orgueira A, et al. Among authors: gonzalez perez ms. Front Oncol. 2022 Jan 10;11:705010. doi: 10.3389/fonc.2021.705010. eCollection 2021. Front Oncol. 2022. PMID: 35083135 Free PMC article.
Prognostic Stratification of Diffuse Large B-cell Lymphoma Using Clinico-genomic Models: Validation and Improvement of the LymForest-25 Model.
Mosquera Orgueira A, Díaz Arías JÁ, Cid López M, Peleteiro Raíndo A, López García A, Abal García R, González Pérez MS, Antelo Rodríguez B, Aliste Santos C, Pérez Encinas MM, Fraga Rodríguez MF, Bello López JL. Mosquera Orgueira A, et al. Among authors: gonzalez perez ms. Hemasphere. 2022 Mar 25;6(4):e706. doi: 10.1097/HS9.0000000000000706. eCollection 2022 Apr. Hemasphere. 2022. PMID: 35392483 Free PMC article.
Unsupervised machine learning improves risk stratification in newly diagnosed multiple myeloma: an analysis of the Spanish Myeloma Group.
Mosquera Orgueira A, González Pérez MS, Diaz Arias J, Rosiñol L, Oriol A, Teruel AI, Martinez Lopez J, Palomera L, Granell M, Blanchard MJ, de la Rubia J, López de la Guia A, Rios R, Sureda A, Hernandez MT, Bengoechea E, Calasanz MJ, Gutierrez N, Martin ML, Blade J, Lahuerta JJ, San Miguel J, Mateos MV; PETHEMA/GEM Cooperative Group. Mosquera Orgueira A, et al. Among authors: gonzalez perez ms. Blood Cancer J. 2022 Apr 25;12(4):76. doi: 10.1038/s41408-022-00647-z. Blood Cancer J. 2022. PMID: 35468898 Free PMC article.
26 results