Publicaciones en colaboración con investigadores/as de Hospital Clinic Barcelona (70)

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 diabetic milieu increases ACE2 expression and cellular susceptibility to SARS-CoV-2 infections in human kidney organoids and patient cells

    Cell Metabolism, Vol. 34, Núm. 6, pp. 857-873.e9

  3. Circulating Low Density Neutrophils Are Associated with Resistance to First Line Anti-PD1/PDL1 Immunotherapy in Non-Small Cell Lung Cancer

    Cancers, Vol. 14, Núm. 16

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

    Cancers, Vol. 14, Núm. 20

  7. Outcome of allogeneic haematopoietic cell transplantation in eosinophilic disorders: A retrospective study by the chronic malignancies working party of the EBMT

    British Journal of Haematology

  8. Prognostic heterogeneity of adult B-cell precursor acute lymphoblastic leukaemia patients with t(1;19)(q23;p13)/TCF3-PBX1 treated with measurable residual disease-oriented protocols

    British Journal of Haematology, Vol. 196, Núm. 3, pp. 670-675

  9. Prognostic impact of micromegakaryocytes in primary myelodysplastic syndromes

    Leukemia and Lymphoma, Vol. 63, Núm. 5, pp. 1227-1235

  10. Time 2EVOLVE: predicting efficacy of engineered T-cells - how far is the bench from the bedside?

    Journal for immunotherapy of cancer, Vol. 10, Núm. 5

  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