Enabling Dataspaces Using Foundation Models: Technical, Legal and Ethical Considerations and Future Trends. - Mohan Timilsina; Samuele Buosi; Ping Song; Yang Yang 008; Rafiqul Haque; Edward Curry (IEEE Big Data, 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)

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)

BERT-Based Deep Learning for Classification of IgA Nephropathy, Diabetes, and Hypertension from Clinical Notes. - Samuele Buosi; Mohan Timilsina; Luke Harris; Sarah Monahan; Kieran Arthur; Niamh Corcoran; Nina Deacon; Michael Wrynn; Richard Farnan; David Keane; George Mellotte; Donal Reddan; et al. (BIBM, 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)

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)

RAG4DS: Retrieval-Augmented Generation for Data Spaces - A Unified Lifecycle, Challenges, and Opportunities. - Majjed Al-Qatf; Rafiqul Haque; Saeed Hamood Alsamhi; Samuele Buosi; Muhammad Asif Razzaq; Mohan Timilsina; Ammar Hawbani; Edward Curry (IEEE Access, 2025)

Harmonizing foundation models in healthcare: A comprehensive survey of their roles, relationships, and impact in artificial intelligence's advancing terrain. - Mohan Timilsina; Samuele Buosi; Muhammad Asif Razzaq; Rafiqul Haque; Conor Judge; Edward Curry (Comput. Biol. Medicine, 2025)

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)