Samuele Buosi

According to our database, Samuele Buosi authored at least 9 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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

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

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

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., January, 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

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, Finn Krewer, Edward Curry, Conor Judge

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

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, Mariano Provencio, Vít Novácek

J. Biomed. Informatics, August, 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, Edel del Barco, Joaquim Bosch-Barrera, Vít Novácek

Proceedings of the International Joint Conference on Neural Networks, 2023

Enabling Dataspaces Using Foundation Models: Technical, Legal and Ethical Considerations and Future Trends.

Mohan Timilsina, Samuele Buosi, Ping Song, Yang Yang, Rafiqul Haque, Edward Curry

Proceedings of the IEEE International Conference on Big Data, 2023