26 results on '"Mosquera Orgueira, Adrian"'
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2. Unsupervised machine learning improves risk stratification in newly diagnosed multiple myeloma: an analysis of the Spanish Myeloma Group
3. Validation of the Artificial Intelligence Prognostic Scoring System for Myelodysplastic Syndromes in chronic myelomonocytic leukaemia: A novel approach for improved risk stratification
4. The implication of next-generation sequencing in the diagnosis and clinical management of non-Hodgkin lymphomas
5. Machine Learning Improves Risk Stratification in Myelodysplastic Neoplasms: An Analysis of the Spanish Group of Myelodysplastic Syndromes
6. AIPSS‐MF machine learning prognostic score validation in a cohort of myelofibrosis patients treated with ruxolitinib
7. PB2384: EVALUATION OF NEW MACHINE LEARNING SYSTEMS FOR PROGNOSTICATION BASED ON GENE EXPRESSION SIGNATURES IN MANTLE CELL AND PERIPHERAL T CELL LYMPHOMAS
8. PB2624: CLINICAL WHOLE EXOM SEQUENCING FOR CONGENITAL PLATELET DISORDERS: ONE SINGLE CENTER EXPERIENCE
9. P1047: AIPSS-MF MACHINE LEARNING MODEL AS USEFUL PROGNOSTIC SCORE COMPARED TO IPSS IN THE SETTING OF MYELOFIBROSIS PATIENTS TREATED WITH RUXOLITINIB
10. P967: A MACHINE LEARNING MODEL FOR RISK PREDICTION IN MULTIPLE MYELOMA PROGRESSING AFTER THE FIRST LINE OF THERAPY
11. P1234: A PROGNOSTIC MODEL BASED ON GENE EXPRESSION PARAMETERS PREDICTS A BETTER RESPONSE TO BORTEZOMIB-CONTAINING IMMUNOCHEMOTHERAPY IN DIFFUSE LARGE B-CELL LYMPHOMA
12. P703: THE AIPSS-MDS MACHINE LEARNING MODEL PREDICTS OVERALL SURVIVAL AND LEUKEMIC TRANSFORMATION IN CMML: AN ANALYSIS OF THE SPANISH REGISTRY OF MDS
13. Supplementary Figure from A Machine Learning Model Based on Tumor and Immune Biomarkers to Predict Undetectable MRD and Survival Outcomes in Multiple Myeloma
14. Supplementary Data from A Machine Learning Model Based on Tumor and Immune Biomarkers to Predict Undetectable MRD and Survival Outcomes in Multiple Myeloma
15. Supervised Machine Learning Improves Risk Stratification in Newly Diagnosed Myelodysplastic Syndromes: An Analysis of the Spanish Group of Myelodysplastic Syndromes
16. Machine Learning Improves Risk Stratification in Myelofibrosis: An Analysis of the Spanish Registry of Myelofibrosis
17. A Machine Learning Model Based on Tumor and Immune Biomarkers to Predict Undetectable MRD and Survival Outcomes in Multiple Myeloma
18. Exploring Potential Molecular Mechanisms of Drug Response in FLT3-ITD Negative AML Patients Treated with Quizartinib Vs Placebo Plus Standard Chemotherapy in the Quiwi Trial
19. A Novel Machine-Learning Model to Predict Early Relapse in Mantle Cell Lymphoma (MCL)
20. Validation and Retraining of the Stellae-123 Gene Expression Signature Improved Risk Stratification in Taiwanese Acute Myeloid Leukemia Patients
21. Beyond MIPI: Harnessing Machine Learning and Histological Subtype for Enhanced MCL Prognostication of Survival
22. Epigenetic Profiling and Machine Learning for Enhanced Risk Stratification in Pediatric Acute Lymphoblastic Leukemia
23. The FLT3-like Gene Expression Signature Predicts Response to Quizartinib in Wild-Type FLT3 Acute Myeloid Leukemia: An Analysis of the Pethema Quiwi Trial
24. Detection of Rare Germline Variants in the Genomes of B Cell Neoplasms
25. A Machine Learning Model Based on Tumor and Immune Biomarkers to Predict Undetectable Measurable Residual Disease (MRD) in Transplant-Eligible Multiple Myeloma (MM)
26. A machine learning model based on tumor and immune biomarkers to predict undetectable MRD and survival outcomes in multiple myeloma
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