Publicaciones en colaboración con investigadores/as de Complexo Hospitalario Universitario de Santiago (47)

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. A simple score to predict early severe infections in patients with newly diagnosed multiple myeloma

    Blood cancer journal, Vol. 12, Núm. 4, pp. 68

  3. Characteristics and Outcomes of Adult Patients in the PETHEMA Registry with Relapsed or Refractory FLT3-ITD Mutation-Positive Acute Myeloid Leukemia

    Cancers, Vol. 14, Núm. 11

  4. Immigrant IBD Patients in Spain Are Younger, Have More Extraintestinal Manifestations and Use More Biologics Than Native Patients

    Frontiers in Medicine, Vol. 9

  5. Long-Term Real-World Effectiveness and Safety of Ustekinumab in Crohn's Disease Patients: The SUSTAIN Study

    Inflammatory bowel diseases, Vol. 28, Núm. 11, pp. 1725-1736

  6. Nationwide COVID-19-EII Study: Incidence, Environmental Risk Factors and Long-Term Follow-Up of Patients with Inflammatory Bowel Disease and COVID-19 of the ENEIDA Registry

    Journal of Clinical Medicine, Vol. 11, Núm. 2

  7. Ponatinib, chemotherapy, and transplant in adults with Philadelphia chromosome-positive acute lymphoblastic leukemia

    Blood Advances, Vol. 6, Núm. 18, pp. 5395-5402

  8. Predictors of thrombosis and bleeding in 1613 myelofibrosis patients from the Spanish Registry of Myelofibrosis

    British Journal of Haematology, Vol. 199, Núm. 4, pp. 529-538

  9. Real-world analysis of main clinical outcomes in patients with polycythemia vera treated with ruxolitinib or best available therapy after developing resistance/intolerance to hydroxyurea

    Cancer, Vol. 128, Núm. 13, pp. 2441-2448

  10. Risk Factors for COVID-19 in Inflammatory Bowel Disease: A National, ENEIDA-Based Case–Control Study (COVID-19-EII)

    Journal of Clinical Medicine, Vol. 11, Núm. 24

  11. 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

  12. Using Interpretable Machine Learning to Identify Baseline Predictive Factors of Remission and Drug Durability in Crohn’s Disease Patients on Ustekinumab

    Journal of Clinical Medicine, Vol. 11, Núm. 15