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2. Predictors and Profile of Severe Infectious Complications in Multiple Myeloma Patients Treated with Daratumumab-Based Regimens: A Machine Learning Model for Pneumonia Risk.

3. Serum Levels of miR-122-5p and miR-125a-5p Predict Hepatotoxicity Occurrence in Patients Undergoing Autologous Hematopoietic Stem Cell Transplantation

6. Evaluation of outcome and safety profile in high-dose BEAM and Benda-EAM chemotherapy with subsequent autologous stem cell transplantation in lymphoma patients.

7. Feeding difficulties in infancy as an early symptom of different forms of diabetes insipidus - a series of cases.

8. High serum miR-223-3p expression level predicts complete response and prolonged overall survival in multiple myeloma patients undergoing autologous hematopoietic stem cell transplantation

9. A low thrombospondin‐1 serum concentration is related to increased bacteremia risk in lymphoma patients treated with BeEAM/BEAM conditioning regimen and autologous stem cell transplantation.

11. Neutrophil to lymphocyte ratio (NLR) impact on the progression-free survival and overall survival of multiple myeloma patients treated with high-dose chemotherapy and autologous stem cell transplantation

17. Neutrophil to lymphocyte ratio (NLR) impact on the progression-free survival and overall survival of multiple myeloma patients treated with high-dose chemotherapy and autologous stem cell transplantation.

19. Incidence and predictors of severe infectious complications in relapsed//refractory multiple myeloma treated with lenalidomide and dexamethasone (Rd) regimen ― a single-center, retrospective, real-life study.

20. Serum miRNA-based neural network models for predicting complications in patients receiving high-dose melphalan or BeEAM conditioning chemotherapy.

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