Publicacións en colaboración con investigadores/as de Hospital Universitario de Salamanca (9)

2024

  1. Impact of somatic gene mutations on the risk of thrombosis in myelofibrosis

    Leukemia

  2. Integrating AIPSS-MF and molecular predictors: A comparative analysis of prognostic models for myelofibrosis

    HemaSphere

  3. The prognostic impact of non-driver gene mutations and variant allele frequency in primary myelofibrosis

    American Journal of Hematology

  4. Validation of the Artificial Intelligence Prognostic Scoring System for Myelodysplastic Syndromes in chronic myelomonocytic leukaemia: A novel approach for improved risk stratification

    British Journal of Haematology, Vol. 204, Núm. 4, pp. 1529-1535

2023

  1. Machine Learning Improves Risk Stratification in Myelodysplastic Neoplasms: An Analysis of the Spanish Group of Myelodysplastic Syndromes

    HemaSphere, Vol. 7, Núm. 10, pp. E961

  2. Machine Learning Improves Risk Stratification in Myelofibrosis: An Analysis of the Spanish Registry of Myelofibrosis

    HemaSphere, Vol. 7, Núm. 1, pp. E818

2022

  1. A Machine Learning Model Based on Tumor and Immune Biomarkers to Predict Undetectable MRD and Survival Outcomes in Multiple Myeloma

    Clinical cancer research : an official journal of the American Association for Cancer Research

  2. Prognostic Stratification of Multiple Myeloma Using Clinicogenomic Models: Validation and Performance Analysis of the IAC-50 Model

    HemaSphere, Vol. 6, Núm. 8

  3. Unsupervised machine learning improves risk stratification in newly diagnosed multiple myeloma: an analysis of the Spanish Myeloma Group

    Blood cancer journal, Vol. 12, Núm. 4, pp. 76