Publications (108) Miguel Teodoro Hernández García publications

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 randomized phase II study comparing consolidation with a single dose of 90Y ibritumomab tiuxetan vs. maintenance with rituximab for two years in patients with newly diagnosed follicular lymphoma responding to R-CHOP. Long-term follow-up results

    Leukemia and Lymphoma, Vol. 63, Núm. 1, pp. 93-100

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

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

  4. Circulating Tumor Cells for the Staging of Patients With Newly Diagnosed Transplant-Eligible Multiple Myeloma

    Journal of clinical oncology : official journal of the American Society of Clinical Oncology, Vol. 40, Núm. 27, pp. 3151-3161

  5. Lenalidomide-dexamethasone versus observation in high-risk smoldering myeloma after 12 years of median follow-up time: A randomized, open-label study

    European Journal of Cancer, Vol. 174, pp. 243-250

  6. Mass spectrometry vs immunofixation for treatment monitoring in multiple myeloma

    Blood Advances, Vol. 6, Núm. 11, pp. 3234-3239

  7. NGS-Based Molecular Karyotyping of Multiple Myeloma: Results from the GEM12 Clinical Trial

    Cancers, Vol. 14, Núm. 20

  8. Prognostic Value of Serum Paraprotein Response Kinetics in Patients With Newly Diagnosed Multiple Myeloma

    Clinical Lymphoma, Myeloma and Leukemia, Vol. 22, Núm. 9, pp. e844-e852

  9. Relevance of early diagnosis in polycythemia vera and essential thrombocythemia: a single center's experience

    Revista Clinica Espanola, Vol. 222, Núm. 3, pp. 169-173

  10. Single versus tandem autologous stem-cell transplantation in patients with newly diagnosed multiple myeloma and high-risk cytogenetics. A retrospective, open-label study of the PETHEMA/Spanish Myeloma Group (GEM)

    Leukemia and Lymphoma, Vol. 63, Núm. 14, pp. 3438-3447

  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