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Journal Articles

Molecular Mechanisms of Quizartinib Response in FLT3-ITD Negative AML: An Updated Analysis from the Pethema Quiwi Trial

Blood (2024) 144 (Supplement 1): 6135.

https://doi.org/10.1182/blood-2024-201316

Published: 2024

Journal Articles

Smartcytoflow: A Machine Learning Decision Support System for Flow Cytometry Analysis in B Cell Acute Lymphoblastic Leukemia Diagnosis and Monitoring

Carlos Pérez Míguez, Jose Angel Diaz Arias, Davide Crucitti, Jesús Gómez Fernández, Manuel Piñeiro Fiel, Lucrecia Yanez San Segundo, Adrian Mosquera Orgueira

Blood (2024) 144 (Supplement 1): 7483.

https://doi.org/10.1182/blood-2024-201439

Published: 2024

Journal Articles

Drug Development for Hematological Cancer Targets Using Asclepius

Davide Crucitti, Carlos Pérez Míguez, Manuel Piñeiro Fiel, Jose Angel Diaz Arias, Jesús Gómez Fernández, Adrian Mosquera Orgueira, Amer M. Zeidan

Blood (2024) 144 (Supplement 1): 7464.

https://doi.org/10.1182/blood-2024-198610

Published: 2024

Journal Articles

Smartcytoflow: A Machine Learning Decision Support System for Flow Cytometry Analysis in Non-Hodgkin Lymphoma Diagnosis and Screening

Carlos Pérez Míguez, Jose Angel Diaz Arias, Jose Antonio Taibo Salorio, Davide Crucitti, Manuel Piñeiro Fiel, Jesús Gómez Fernández, Noelia Jorge Ríos, Rosanna Abal García, Adrian Mosquera Orgueira

Blood (2024) 144 (Supplement 1): 3606.

https://doi.org/10.1182/blood-2024-199000

Published: 2024

Journal Articles

A Cutting-Edge Bioinformatics Tool for Neoantigen Identification in Unpaired RNA-Seq Samples of AML

Blood (2024) 144 (Supplement 1): 4986.

https://doi.org/10.1182/blood-2024-201407

Published: 2024

Journal Articles

Myeloma and Lymphoma Medical Helpers: AI-Powered Decision Support Tools for Hematologic Malignancies

Davide Crucitti, Carlos Pérez Míguez, Marta Sonia Gonzalez Perez, Jose Angel Diaz Arias, Jesús Gómez Fernández, Manuel Piñeiro Fiel, Carlos Panizo, Maria-Victoria Mateos, Adrian Mosquera Orgueira

Blood (2024) 144 (Supplement 1): 7478.

https://doi.org/10.1182/blood-2024-194597

Published: 2024

Journal Articles

Prediction of Poor Survival after Hematopoietic Cell Transplantation in Myelofibrosis Using Machine Learning Techniques

Blood (2024) 144 (Supplement 1): 3558.

https://doi.org/10.1182/blood-2024-200237

Published: 2024

Journal Articles

Enhanced Validation of the FLT3 -like Gene Expression Signature As a Predictive Biomarker for Quizartinib Response in FLT3-ITD Negative Acute Myeloid Leukemia: Expanded Cohort and Extended Follow-up from the Pethema Quiwi Trial

Blood (2024) 144 (Supplement 1): 1552.

https://doi.org/10.1182/blood-2024-201264

Published: 2024

Journal Articles

Genomic Instability in Early-Onset Myelodysplastic Syndrome Patients Harboring Rare Germline Variants in NHEJ DNA Repair Genes

Blood (2024) 144 (Supplement 1): 2708.

https://doi.org/10.1182/blood-2024-211133

Published: 2024

Journal Articles

Evaluating Molecular and Clinical Predictors in Myelodysplastic Syndromes through Machine Learning Integration

Blood (2024) 144 (Supplement 1): 6683.

https://doi.org/10.1182/blood-2024-198114

Published: 2024

Journal Articles

Ibromics: A Real-World Study of Clinical and Biological Parameters in Patients with Chronic Lymphocytic Leukemia (CLL) Treated in First Line with Single Agent Ibrutinib

Cecilia Muñoz-Calleja, José Ángel Hernández-Rivas, Francesc Bosch, Laura Palomo, Adrian Mosquera Orgueira, Angel Ramirez, Ruben Fernandez Alvarez, Ana C Oliveira, Paula Amat Martinez, Alicia Serrano, Aránzazu García-Grande, Ana Yeguas, Marta Crespo, Miguel Alcoceba, Blanca Ferrer Lores, José Antonio Garcia Vela, Luis Espinosa-Hevia, Celia Bolumburu, Miguel Villanueva Forero

Blood (2024) 144 (Supplement 1): 6769.

https://doi.org/10.1182/blood-2024-199097

Published: 2024

Journal Articles

Automated Image Analysis Pipeline for Standardized Processing, Segmentation, and Feature Extraction in Diffuse Large B-Cell Lymphoma Histological Slides: Towards Enhanced Prediction of Immunotherapy Response and Risk Stratification

Manuel Piñeiro Fiel, Carlos Pérez Míguez, Jose Antonio Taibo Salorio, Davide Crucitti, Jesús Gómez Fernández, Noelia Jorge Ríos, Rosanna Abal García, Jose Angel Diaz Arias, Carlos Aliste Santos, Máximo Francisco Fraga Rodríguez, Adrian Mosquera Orgueira

Blood (2024) 144 (Supplement 1): 3593.

https://doi.org/10.1182/blood-2024-199008

Published: 2024

Journal Articles

Smartcytoflow: A Machine Learning Decision Support System for Flow Cytometry Analysis in Multiple Myeloma Diagnosis and Monitoring

Carlos Pérez Míguez, Jose Angel Diaz Arias, Davide Crucitti, Jesús Gómez Fernández, Manuel Piñeiro Fiel, Marta Sonia Gonzalez Perez, Maria-Victoria Mateos, Adrian Mosquera Orgueira

Blood (2024) 144 (Supplement 1): 1938.

https://doi.org/10.1182/blood-2024-194599

Published: 2024

Journal Articles

Development and Validation of Novel Machine Learning-Based Risk Scores for Multiple Myeloma: Insights from the Harmony Alliance Big Data Platform

Blood (2024) 144 (Supplement 1): 2226.

https://doi.org/10.1182/blood-2024-201448

Published: 2024

Journal Articles

Epigenetic Profiling and Machine Learning for Enhanced Risk Stratification in Pediatric Acute Lymphoblastic Leukemia

Adrian Mosquera Orgueira, Olga Krali, Andres Peleteiro Raindo, Jose Angel Diaz Arias, Marta Sonia Gonzalez Perez, Manuel Perez Encinas, Manuel Fernandez Sanmartin, Natalia Alonso Vence, Daniel Sinnett, Mats Heyman, Gudmar Lönnerholm, Ulrika Norén-Nyström, Kjeld Schmiegelow, Jessica Nordlund

Blood (2023) 142 (Supplement 1): 4353.

https://doi.org/10.1182/blood-2023-179156

Published: 2023

Journal Articles

Validation and Retraining of the Stellae-123 Gene Expression Signature Improved Risk Stratification in Taiwanese Acute Myeloid Leukemia Patients

Yu-Hung Wang, Adrian Mosquera Orgueira, Chien-Chin Lin, Chi-Yuan Yao, Min Yen Lo, Cheng-Hong Tsai, Hsin-An Hou, Wen-Chien Chou, Hwei-Fang Tien

Blood (2023) 142 (Supplement 1): 1472.

https://doi.org/10.1182/blood-2023-179847

Published: 2023

Journal Articles

A Novel Machine-Learning Model to Predict Early Relapse in Mantle Cell Lymphoma (MCL)

Blood (2023) 142 (Supplement 1): 1675.

https://doi.org/10.1182/blood-2023-181628

Published: 2023

Journal Articles

The FLT3-like Gene Expression Signature Predicts Response to Quizartinib in Wild-Type FLT3 Acute Myeloid Leukemia: An Analysis of the Pethema Quiwi Trial

Blood (2023) 142 (Supplement 1): 974.

https://doi.org/10.1182/blood-2023-180482

Published: 2023

Journal Articles

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

Blood (2023) 142 (Supplement 1): 6037.

https://doi.org/10.1182/blood-2023-180710

Published: 2023

Journal Articles

Beyond MIPI: Harnessing Machine Learning and Histological Subtype for Enhanced MCL Prognostication of Survival

Blood (2023) 142 (Supplement 1): 4419.

https://doi.org/10.1182/blood-2023-179174

Published: 2023

NARROW

Molecular Mechanisms of Quizartinib Response in FLT3-ITD Negative AML: An Updated Analysis from the Pethema Quiwi Trial

Smartcytoflow: A Machine Learning Decision Support System for Flow Cytometry Analysis in B Cell Acute Lymphoblastic Leukemia Diagnosis and Monitoring

Drug Development for Hematological Cancer Targets Using Asclepius

Smartcytoflow: A Machine Learning Decision Support System for Flow Cytometry Analysis in Non-Hodgkin Lymphoma Diagnosis and Screening

A Cutting-Edge Bioinformatics Tool for Neoantigen Identification in Unpaired RNA-Seq Samples of AML

Myeloma and Lymphoma Medical Helpers: AI-Powered Decision Support Tools for Hematologic Malignancies

Prediction of Poor Survival after Hematopoietic Cell Transplantation in Myelofibrosis Using Machine Learning Techniques

Enhanced Validation of the FLT3 -like Gene Expression Signature As a Predictive Biomarker for Quizartinib Response in FLT3-ITD Negative Acute Myeloid Leukemia: Expanded Cohort and Extended Follow-up from the Pethema Quiwi Trial

Genomic Instability in Early-Onset Myelodysplastic Syndrome Patients Harboring Rare Germline Variants in NHEJ DNA Repair Genes

Evaluating Molecular and Clinical Predictors in Myelodysplastic Syndromes through Machine Learning Integration

Ibromics: A Real-World Study of Clinical and Biological Parameters in Patients with Chronic Lymphocytic Leukemia (CLL) Treated in First Line with Single Agent Ibrutinib

Automated Image Analysis Pipeline for Standardized Processing, Segmentation, and Feature Extraction in Diffuse Large B-Cell Lymphoma Histological Slides: Towards Enhanced Prediction of Immunotherapy Response and Risk Stratification

Smartcytoflow: A Machine Learning Decision Support System for Flow Cytometry Analysis in Multiple Myeloma Diagnosis and Monitoring

Development and Validation of Novel Machine Learning-Based Risk Scores for Multiple Myeloma: Insights from the Harmony Alliance Big Data Platform

Epigenetic Profiling and Machine Learning for Enhanced Risk Stratification in Pediatric Acute Lymphoblastic Leukemia

Validation and Retraining of the Stellae-123 Gene Expression Signature Improved Risk Stratification in Taiwanese Acute Myeloid Leukemia Patients

A Novel Machine-Learning Model to Predict Early Relapse in Mantle Cell Lymphoma (MCL)

The FLT3-like Gene Expression Signature Predicts Response to Quizartinib in Wild-Type FLT3 Acute Myeloid Leukemia: An Analysis of the Pethema Quiwi Trial

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

Beyond MIPI: Harnessing Machine Learning and Histological Subtype for Enhanced MCL Prognostication of Survival

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American Society of Hematology

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American Society of Hematology

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