José Ángel Díaz Arias

Survival prediction and treatment optimization of multiple myeloma patients using machine-learning models based on clinical and gene expression data

Adrián Mosquera Orgueira, José Ángel Díaz Arias, Beatriz Antelo Rodríguez et al. · Leukemia · 2021 · 54 citations

Medicine, Bioinformatics, Oncology +17

Personalized Survival Prediction of Patients With Acute Myeloblastic Leukemia Using Gene Expression Profiling

Adrián Mosquera Orgueira, Andrés Peleteiro Raíndo, Miguel Cid López et al. · Frontiers in Oncology · 2021 · 34 citations · Full text

Life Sciences, Bioinformatics, Oncology +17

Diagnostic screening of paroxysmal nocturnal hemoglobinuria: Prospective multicentric evaluation of the current medical indications

Marta Morado, Alex Freire Sandes, Enrique Colado et al. · Cytometry Part B Clinical Cytometry · 2016 · 33 citations · Full text

Medicine, Hematology, Internal Medicine +14

De novo drug design through artificial intelligence: an introduction

Davide Crucitti, Carlos Pérez Míguez, José Ángel Díaz Arias et al. · Frontiers in Hematology · 2024 · 33 citations · Full text

Pharmacy, Medicinal Chemistry, Computational Medicinal Chemistry +10

Unsupervised machine learning improves risk stratification in newly diagnosed multiple myeloma: an analysis of the Spanish Myeloma Group

Adrián Mosquera Orgueira, José Ángel Díaz Arias, Laura Rosiñol et al. · Blood Cancer Journal · 2022 · 23 citations · Full text

Medicine, Biostatistics, Clinical Sciences +15