IASIS and BigMedilytics: Towards personalized medicine in Europe. - Ernestina Menasalvas Ruiz; Alejandro Rodríguez González; Consuelo Gonzalo-Martín; Massimiliano Zanin; Juan Manuel Tuñas; Mariano Provencio; Maria Torrente; Fabio Franco; Virginia Calvo; Beatriz Nuñez (CoRR, 2018)

iASiS: Towards Heterogeneous Big Data Analysis for Personalized Medicine. - Anastasia Krithara; Fotis Aisopos; Vassiliki Rentoumi; Anastasios Nentidis; Konstantinos Bougiatiotis; Maria-Esther Vidal; Ernestina Menasalvas; Alejandro Rodríguez González; Eleftherios Samaras; Peter Garrard; Maria Torrente; Mariano Provencio Pulla; et al. (CBMS, 2019)

Lung Cancer Diagnosis Extraction from Clinical Notes Written in Spanish. - Oswaldo Solarte Pabón; Maria Torrente; Alejandro Rodríguez González; Mariano Provencio; Ernestina Menasalvas; Juan Manuel Tuñas (CBMS, 2020)

A Data-Driven Approach for Analyzing Healthcare Services Extracted from Clinical Records. - Manuel Scurti; Ernestina Menasalvas Ruiz; Maria-Esther Vidal; Maria Torrente; Dimitrios Vogiatzis; George Paliouras; Mariano Provencio; Alejandro Rodríguez González (CBMS, 2020)

Reconstructing the patient's natural history from electronic health records. - Marjan Najafabadipour; Massimiliano Zanin; Alejandro Rodríguez González; Maria Torrente; Beatriz Nuñez García; Juan Luis Cruz-Bermúdez; Mariano Provencio; Ernestina Menasalvas (Artif. Intell. Medicine, 2020)

On Predicting Recurrence in Early Stage Non-small Cell Lung Cancer. - Sameh K. Mohamed; Brian Walsh; Mohan Timilsina; Vít Novácek; Maria Torrente; Fabio Franco; Mariano Provencio; Adrianna Janik; Luca Costabello; Pontus Stenetorp; Pasquale Minervini (AMIA, 2021)

Extracting Cancer Treatments from Clinical Text written in Spanish: A Deep Learning Approach. - Oswaldo Solarte Pabón; Alberto Blázquez-Herranz; Maria Torrente; Alejandro Rodríguez González; Mariano Provencio; Ernestina Menasalvas (DSAA, 2021)

Towards Treatment Patterns Validation in Lung Cancer Patients. - Arturo Redondo; Belén Ríos-Sánchez; Guillermo Vigueras; Belén Otero; Roberto Hernández López; Maria Torrente; Ernestina Menasalvas; Mariano Provencio; Alejandro Rodríguez González (DSAA, 2021)

Integration of Clinical Information and Imputed Aneuploidy Scores to Enhance Relapse Prediction in Early Stage Lung Cancer Patients. - Mohan Timilsina; Samuele Bousi; Dirk Fey; Adrianna Janik; Maria Torrente; Mariano Provencio; Alberto Bermúdez; Enric Carcereny; Luca Costabello; Delvys Rodriguez Abreu; Manuel Cobo; Rafael Castro; et al. (AMIA, 2022)

Subgroup Discovery Analysis of Treatment Patterns in Lung Cancer Patients. - Daniel Gómez-Bravo; Aaron García; Guillermo Vigueras; Belén Ríos-Sánchez; Belén Otero; Roberto Hernández López; María Torrente; Ernestina Menasalvas; Mariano Provencio; Alejandro Rodríguez González (CBMS, 2022)

Deep learning to extract Breast Cancer diagnosis concepts. - Oswaldo Solarte Pabón; Maria Torrente; Alvaro Garcia-Barragán; Mariano Provencio; Ernestina Menasalvas; Victor Robles (CBMS, 2022)

Machine Learning-Assisted Recurrence Prediction for Early-Stage Non-Small-Cell Lung Cancer Patients. - Adrianna Janik; Maria Torrente; Luca Costabello; Virginia Calvo; Brian Walsh; Carlos Camps; Sameh K. Mohamed; Ana L. Ortega; Vít Novácek; Bartomeu Massutí; Pasquale Minervini; M. Rosario Garcia Campelo; et al. (CoRR, 2022)

Negation and uncertainty detection in clinical texts written in Spanish: a deep learning-based approach. - Oswaldo Solarte Pabón; Orlando Montenegro; Maria Torrente; Alejandro Rodríguez González; Mariano Provencio; Ernestina Menasalvas (PeerJ Comput. Sci., 2022)

Clustering-based Pattern Discovery in Lung Cancer Treatments. - Daniel Gómez-Bravo; Aaron García; Guillermo Vigueras; Belén Ríos-Sánchez; Alejandra Pérez-García; Vanessa Ospina; María Torrente; Ernestina Menasalvas; Mariano Provencio; Alejandro Rodríguez González (CBMS, 2023)

Machine Learning Survival Models for Relapse Prediction in a Early Stage Lung Cancer Patient. - Mohan Timilsina; Samuele Buosi; Adrianna Janik; Pasquale Minervini; Luca Costabello; Maria Torrente; Mariano Provencio; Virginia Calvo; Carlos Camps; Ana L. Ortega; Bartomeu Massutí; M. Rosario Garcia Campelo; et al. (IJCNN, 2023)

Knowledge graphs for enhancing transparency in health data ecosystems. - Fotis Aisopos; Samaneh Jozashoori; Emetis Niazmand; Disha Purohit; Ariam Rivas; Ahmad Sakor; Enrique Iglesias; Dimitrios Vogiatzis; Ernestina Menasalvas; Alejandro Rodríguez González; Guillermo Vigueras; Daniel Gómez-Bravo; et al. (Semantic Web, 2023)

Synergy between imputed genetic pathway and clinical information for predicting recurrence in early stage non-small cell lung cancer. - Mohan Timilsina; Dirk Fey; Samuele Buosi; Adrianna Janik; Luca Costabello; Enric Carcereny; Delvys Rodriguez Abreu; Manuel Cobo; Rafael Castro; Reyes Bernabé; Pasquale Minervini; Maria Torrente; et al. (J. Biomed. Informatics, 2023)

Transformers for extracting breast cancer information from Spanish clinical narratives. - Oswaldo Solarte Pabón; Orlando Montenegro; Alvaro Garcia-Barragán; Maria Torrente; Mariano Provencio; Ernestina Menasalvas; Víctor Robles (Artif. Intell. Medicine, 2023)

VISE: Validated and Invalidated Symbolic Explanations for Knowledge Graph Integrity. - Disha Purohit; Yashrajsinh Chudasama; Maria Torrente; Maria-Esther Vidal (EXPLIMED@ECAI, 2024)

Semantically Describing Predictive Models for Interpretable Insights into Lung Cancer Relapse. - Yashrajsinh Chudasama; Disha Purohit; Philipp D. Rohde; Enrique Iglesias; Maria Torrente; Maria-Esther Vidal (SEMANTICS, 2024)

Boosting predictive models and augmenting patient data with relevant genomic and pathway information. - Samuele Buosi; Mohan Timilsina; Maria Torrente; Mariano Provencio; Dirk Fey; Vít Novácek (Comput. Biol. Medicine, 2024)

A neuro-symbolic system over knowledge graphs for link prediction. - Ariam Rivas; Diego Collarana; Maria Torrente; Maria-Esther Vidal (Semantic Web, 2024)

Machine learning estimated probability of relapse in early-stage non-small-cell lung cancer patients with aneuploidy imputation scores and knowledge graph embeddings. - Samuele Buosi; Mohan Timilsina; Adrianna Janik; Luca Costabello; Maria Torrente; Mariano Provencio; Dirk Fey; Vít Novácek (Expert Syst. Appl., 2024)

Large language model vs. traditional machine learning: Evaluating predictive models for early detection of tumor relapse. - Mohan Timilsina; Samuele Buosi; Maria Torrente; Mariano Provencio; Manuel Cobo; Delvys Rodriguez Abreu; Rafael Castro; Enric Carcereny; Edward Curry; Vít Novácek (Expert Syst. Appl., 2025)

Integrating Knowledge Graphs with Symbolic AI: The Path to Interpretable Hybrid AI Systems in Medicine. - Maria-Esther Vidal; Yashrajsinh Chudasama; Hao Huang 014; Disha Purohit; Maria Torrente (J. Web Semant., 2025)