Novel oxygenscan parameters differentiate unique hemolytic and inflammatory profiles associated with sickle cell disease genotypes
Amira Idrizovic, Marissa J.M. Traets, Anna Collado Gimbert, Sara Reidel et autres
0 citationsScientific Reports
Patricia A. Apellániz
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21Publications signalées
83Citations signalées
1Affiliations récentes
Institutions déclarées
Domaines associés
Cancer Genomics and DiagnosticsPrivacy-Preserving Technologies in DataMachine Learning in HealthcareStatistical Methods and InferenceNeural Networks and Applications
Publications récentes
Deep survival analysis in multimodal medical data: a parametric and probabilistic approach with competing risks
A. Garrido, Alejandro Almodóvar, Patricia A. Apellániz, Santiago Zazo et autres
0 citationsScientific Reports
Development and validation of synthetic data generation over a federated learning computing framework to accelerate innovation and boost personalized medicine in hematological diseases
Gianluca Asti, Mattia Delleani, Patricia A. Apellániz, Imanol Isasa et autres
0 citationsBlood
Interpretable Clinical Classification with Kolmogorov-Arnold Networks
Alejandro Almodóvar, Patricia A. Apellániz, A. Garrido, Fernando Fernández-Salvador et autres
0 citationsarXiv (Cornell University)
Deep Generative Models Meet Federated Learning: A Healthcare-Centered Review
Alessandro Ceresi, Borja Arroyo Galende, Javier Pérez, Patricia A. Apellániz et autres
0 citations
Development, implementation, and validation of an open-source Federated Learning platform to accelerate innovation and boost personalized medicine in rare and ultra-rare haematological diseases: an initiative by GenoMed4All Consortium
Gianluca Asti, Patricia A. Apellániz, Luciana Carota, Francesco Casadei et autres
2 citationsmedRxiv
Advancing Cancer Research With Synthetic Data Generation in Low-Data Scenarios
Patricia A. Apellániz, Borja Arroyo Galende, Ana Jim ́enez, Juan Parras et autres
1 citationIEEE Journal of Biomedical and Health Informatics
Artificial inductive bias for synthetic tabular data generation in data-scarce scenarios
Patricia A. Apellániz, Ana Jiménez, Borja Arroyo Galende, Juan Parras et autres
5 citationsNeurocomputing
Survival Model Optimization via Federated Learning: A Study Combining Simulations and Experiments
Francesco Casadei, Luciana Carota, Gianluca Asti, Saverio D’Amico et autres
0 citations
Data Driven Research through the European RADeep Registry and the Use of Artificial Intelligence Towards Personalized Medicine in Sickle Cell Disease
Anna Collado Gimbert, Sara Reidel, Patricia A. Apellániz, Federico Álvarez et autres
0 citationsBlood
An Artificial Intelligence-Based Federated Learning Platform to Boost Precision Medicine in Rare Hematological Diseases: An Initiative By GenoMed4all and Synthema Consortia
Gianluca Asti, Saverio D’Amico, Luciana Carota, Davide Piscia et autres
7 citationsBlood
Leveraging the variational Bayes autoencoder for survival analysis
Patricia A. Apellániz, Juan Parras, Santiago Zazo
9 citationsScientific Reports
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