| Machine learning for mortality analysis in patients with COVID-19 M Sánchez-Montañés, P Rodríguez-Belenguer, AJ Serrano-López, ... International journal of environmental research and public health 17 (22), 8386, 2020 | 52 | 2020 |
| Inteligencia artificial E Soria, P Rodríguez, Q García, F Vaquer, J Vicent, J Vila Ra-Ma Editorial, 2022 | 38 | 2022 |
| SARS-CoV-2 vaccine response and rate of breakthrough infection in patients with hematological disorders JL Piñana, L López-Corral, R Martino, L Vazquez, A Pérez, ... Journal of hematology & oncology 15 (1), 54, 2022 | 30 | 2022 |
| Applicability of probabilistic graphical models for early detection of SARS-CoV-2 reactive antibodies after SARS-CoV-2 vaccination in hematological patients JL Piñana, P Rodríguez-Belenguer, D Caballero, R Martino, ... Annals of Hematology 101 (9), 2053-2067, 2022 | 9 | 2022 |
| Usage of model combination in computational toxicology P Rodríguez-Belenguer, E March-Vila, M Pastor, V Mangas-Sanjuan, ... Toxicology Letters 389, 34-44, 2023 | 7 | 2023 |
| A machine learning approach to identify groups of patients with hematological malignant disorders P Rodríguez-Belenguer, JL Piñana, M Sánchez-Montañés, E Soria-Olivas, ... Computer Methods and Programs in Biomedicine 246, 108011, 2024 | 6 | 2024 |
| Integrating mechanistic and toxicokinetic information in predictive models of cholestasis P Rodríguez-Belenguer, V Mangas-Sanjuan, E Soria-Olivas, M Pastor Journal of Chemical Information and Modeling 64 (7), 2775-2788, 2023 | 4 | 2023 |
| Application of machine learning to improve the efficiency of electrophysiological simulations used for the prediction of drug-induced ventricular arrhythmia P Rodríguez-Belenguer, K Kopańska, J Llopis-Lorente, B Trenor, J Saiz, ... Computer Methods and Programs in Biomedicine 230, 107345, 2023 | 3 | 2023 |
| Characterization of novel hyaluronic acid matrix systems for vaginal administration of metronidazole P Rodríguez‐Belenguer, A Nácher, MJ Hernández, O Díez‐Sales Journal of Applied Polymer Science 132 (3), 2015 | 3 | 2015 |
| Uncertainty assessment of proarrhythmia predictions derived from multi-level in silico models K Kopańska, P Rodríguez-Belenguer, J Llopis-Lorente, B Trenor, J Saiz, ... Archives of Toxicology 97 (10), 2721-2740, 2023 | 2 | 2023 |
| StreamChol: a web-based application for predicting cholestasis P Rodríguez-Belenguer, E Soria-Olivas, M Pastor Journal of Cheminformatics 17 (1), 9, 2025 | | 2025 |
| Evaluating the impact of molecule properties and structural pharmacokinetic models for predicting cholestasis P Rodriguez Belenguer, V Mangas-Sanjuan, E Soria-Olivas, M Pastor TOXICOLOGY LETTERS 384, S107-S108, 2023 | | 2023 |
| Combining Machine Learning models for improving their predictive quality and usefulness in biomedical applications P Rodríguez Belenguer | | 2023 |
| Uncertainty estimation of predictions produced by in silico arrhythmogenic riskmodels K Kopanska, P Rodriguez-Belenguer, J Llopis, B Trenor, J Saiz, M Pastor JOURNAL OF PHARMACOLOGICAL AND TOXICOLOGICAL METHODS 117, 2022 | | 2022 |