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1. Cardiac events after allo-HCT in patients with acute myeloid leukemia

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

3. Pomalidomide, Cyclophosphamide, and Dexamethasone for the Treatment of Relapsed/Refractory Multiple Myeloma: Real-World Analysis of the Pethema-GEM Experience

4. Curative Strategy for High-Risk Smoldering Myeloma: Carfilzomib, Lenalidomide, and Dexamethasone (KRd) Followed by Transplant, KRd Consolidation, and Rd Maintenance.

5. Predictors of unsustained measurable residual disease negativity in transplant-eligible patients with multiple myeloma

6. Predictors of unsustained measurable residual disease negativity in transplant-eligible patients with multiple myeloma

7. OA-12 Predictors of unsustained measurable residual disease (MRD) negativity in transplant-eligible multiple myeloma (MM) patients

8. P-367 High-risk cytogenetic abnormalities in multiple myeloma: PETHEMA-GEM experience

9. Daratumumab is a safe and effective rescue therapy for multiple myeloma patients who relapse after allo-HSCT

10. Randomized phase II study of weekly carfilzomib 70 mg/m2 and dexamethasone with or without cyclophosphamide in relapsed and/or refractory multiple myeloma patients

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

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

13. 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)

14. 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)

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

16. Adjuvanted recombinant zoster vaccine in adult autologous stem cell transplant recipients: polyfunctional immune responses and lessons for clinical practice

17. Longitudinal Screening of Mutant Hematopoietic Progenitor Cells (HPC) in Multiple Myeloma (MM) and Its Association with Secondary Primary Malignancies (SPM)

18. Daratumumab is a safe and effective rescue therapy for multiple myeloma patients who relapse after allo-HSCT

19. Daratumumab is a safe and effective rescue therapy for multiple myeloma patients who relapse after allo-HSCT

20. Expansion of NK Cells and Reduction of NKG2D Expression in Chronic Lymphocytic Leukemia. Correlation with Progressive Disease

23. Clinical and Biological Prognostic Factors Evaluation of Diffuse Large B-Cell Lymphoma Patients Relapsed or Refractory After Previous Line with Rituximab Plus Chemotherapy. Results of the Study PRO-R-IPI (NCT01369784),

24. A machine learning model based on tumor and immune biomarkers to predict undetectable measurable residual disease (MRD) in transplant-eligible multiple myeloma (MM)

25. A machine learning model based on tumor and immune biomarkers to predict undetectable MRD and survival outcomes in multiple myeloma

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