Showing 1 - 5 results of 5 for search 'Davide Crucitti', query time: 0.03s Refine Results
  1. 1
    De novo drug design through artificial intelligence: an introduction

    De novo drug design through artificial intelligence: an introduction by Davide Crucitti, Davide Crucitti, Carlos Pérez Míguez, José Ángel Díaz Arias, Diego Beltrán Fernandez Prada, Adrián Mosquera Orgueira, Adrián Mosquera Orgueira

    Published 2024-01-01
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  2. 2
    A New Class of Benzo[<em>b</em>]thiophene-chalcones as Cholinesterase Inhibitors: Synthesis, Biological Evaluation, Molecular Docking and ADME Studies

    A New Class of Benzo[<em>b</em>]thiophene-chalcones as Cholinesterase Inhibitors: Synthesis, Biological Evaluation, Molecular Docking and ADME Studies by Giovanna Lucia Delogu, Michela Begala, Maria João Matos, Davide Crucitti, Valeria Sogos, Benedetta Era, Antonella Fais

    Published 2024-08-01
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  3. 3
    Machine Learning Improves Risk Stratification in Myelodysplastic Neoplasms: An Analysis of the Spanish Group of Myelodysplastic Syndromes

    Machine Learning Improves Risk Stratification in Myelodysplastic Neoplasms: An Analysis of the Spanish Group of Myelodysplastic Syndromes by Adrian Mosquera Orgueira, Manuel Mateo Perez Encinas, Nicolas A Diaz Varela, Elvira Mora, Marina Díaz-Beyá, María Julia Montoro, Helena Pomares, Fernando Ramos, Mar Tormo, Andres Jerez, Josep F Nomdedeu, Carlos De Miguel Sanchez, Arenillas Leonor, Paula Cárcel, Maria Teresa Cedena Romero, Blanca Xicoy, Eugenia Rivero, Rafael Andres del Orbe Barreto, Maria Diez-Campelo, Luis E. Benlloch, Davide Crucitti, David Valcárcel

    Published 2023-10-01
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  4. 4
    P703: THE AIPSS-MDS MACHINE LEARNING MODEL PREDICTS OVERALL SURVIVAL AND LEUKEMIC TRANSFORMATION IN CMML: AN ANALYSIS OF THE SPANISH REGISTRY OF MDS

    P703: THE AIPSS-MDS MACHINE LEARNING MODEL PREDICTS OVERALL SURVIVAL AND LEUKEMIC TRANSFORMATION IN CMML: AN ANALYSIS OF THE SPANISH REGISTRY OF MDS by Adrian Mosquera-Orgueira, Manuel Mateo Perez Encinas, Nicolas Diaz Varela, Yu-Hung Wang, Elvira Mora, Marina Diaz-Beya, Maria Julia Montoro, Helena Pomares Marin, Fernando Ramos Ortega, Mar Tormo, Andres Jerez, Josep Nomdedeu, Carlos de Migue Sanchez, Leonor Arenillas, Paula Carcel, Maria Teresa Cedena Romero, Blanca Xicoy Cirici, Eugenia Rivero Arango, Rafael Andrés Del Orbe Barreto, Luis Benlloch, Chien-Chin Lin, Hwei-Fang Tien, María Díez Campelo, Davide Crucitti, David Valcárcel

    Published 2023-08-01
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  5. 5
    Integrating AIPSS‐MF and molecular predictors: A comparative analysis of prognostic models for myelofibrosis

    Integrating AIPSS‐MF and molecular predictors: A comparative analysis of prognostic models for myelofibrosis by Adrián Mosquera‐Orgueira, Eduardo Arellano‐Rodrigo, Marta Garrote, Iván Martín, Manuel Pérez‐Encinas, María‐Teresa Gómez‐Casares, Alberto Hernández‐Sánchez, Francisca Ferrer‐Marín, Elvira Mora, Patricia Velez, Rosa Ayala, Anna Angona, Natalia de las Heras, Elena Magro, Carlos Pérez‐Míguez, Davide Crucitti, María‐Isabel Mata‐Vázquez, María‐Laura Fox, Sonia González de Villambrosía, María‐José Ramírez, Ana García, Valentín García‐Gutiérrez, Amparo Cáceres, María‐Antonia Durán, María‐Alicia Senín, José‐María Raya, José A. González, Beatriz Cuevas, Blanca Xicoy, Jyoti Nangalia, Jesús M. Hernández‐Rivas, Beatriz Bellosillo, Alberto Álvarez‐Larrán, Juan C. Hernández‐Boluda, Spanish MPN Group (GEMFIN)

    Published 2024-03-01
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