Metareview-informed Explainable Cytokine Storm Detection during CAR-T cell Therapy. - Alex Bogatu; Magdalena Wysocka; Oskar Wysocki; Holly Butterworth; Donal Landers; Elaine Kilgour; André Freitas (CoRR, 2022)

Biologically-informed deep learning models for cancer: fundamental trends for encoding and interpreting oncology data. - Magdalena Wysocka; Oskar Wysocki; Marie Zufferey; Dónal Landers; André Freitas (CoRR, 2022)

Large Language Models, scientific knowledge and factuality: A systematic analysis in antibiotic discovery. - Magdalena Wysocka; Oskar Wysocki; Maxime Delmas; Vincent Mutel; André Freitas (CoRR, 2023)

Relation Extraction in underexplored biomedical domains: A diversity-optimised sampling and synthetic data generation approach. - Maxime Delmas; Magdalena Wysocka; André Freitas (CoRR, 2023)

Transformers and the Representation of Biomedical Background Knowledge. - Oskar Wysocki; Zili Zhou; Paul O'Regan; Deborah Ferreira; Magdalena Wysocka; Dónal Landers; André Freitas (Comput. Linguistics, 2023)

Meta-analysis informed machine learning: Supporting cytokine storm detection during CAR-T cell Therapy. - Alex Bogatu; Magdalena Wysocka; Oskar Wysocki; Holly Butterworth; Manon Pillai; Jennifer Allison; Dónal Landers; Elaine Kilgour; Fiona Thistlethwaite; André Freitas (J. Biomed. Informatics, 2023)

Synthetic datasets for end-to-end Relation Extraction of relationships between Organisms and Natural-Products. - Maxime Delmas; Magdalena Wysocka; André Freitas (Zenodo, 2023)

Evaluation dataset for Relation Extraction of relationships between Organisms and Natural-Products. - Magdalena Wysocka; Maxime Delmas; André Freitas (Zenodo, 2023)

Synthetic dataset for end-to-end Relation Extraction of relationships between Organisms and Natural-Products with Vicuna-13b-v1.5. - Maxime Delmas; Magdalena Wysocka; André Freitas (Zenodo, 2023)

A systematic review of biologically-informed deep learning models for cancer: fundamental trends for encoding and interpreting oncology data. - Magdalena Wysocka; Oskar Wysocki; Marie Zufferey; Dónal Landers; André Freitas (BMC Bioinform., 2023)

Relation Extraction in Underexplored Biomedical Domains: A Diversity-optimized Sampling and Synthetic Data Generation Approach. - Maxime Delmas; Magdalena Wysocka; André Freitas (Comput. Linguistics, 2024)

An LLM-based Knowledge Synthesis and Scientific Reasoning Framework for Biomedical Discovery. - Oskar Wysocki; Magdalena Wysocka; Danilo S. Carvalho; Alex Teodor Bogatu; Danilo Miranda Gusicuma; Maxime Delmas; Harriet Unsworth; André Freitas (CoRR, 2024)

Large Language Models, scientific knowledge and factuality: A framework to streamline human expert evaluation. - Magdalena Wysocka; Oskar Wysocki; Maxime Delmas; Vincent Mutel; André Freitas (J. Biomed. Informatics, 2024)

Synthetic dataset for end-to-end Relation Extraction of relationships between Organisms and Natural-Products with Mixtral-8x7B-Instruct-v0.1. - Maxime Delmas; Magdalena Wysocka; André Freitas (Zenodo, 2024)

SylloBio-NLI: Evaluating Large Language Models on Biomedical Syllogistic Reasoning. - Magdalena Wysocka; Danilo S. Carvalho; Oskar Wysocki; Marco Valentino; André Freitas (NAACL (Long Papers), 2025)

Accelerating Antibiotic Discovery with Large Language Models and Knowledge Graphs. - Maxime Delmas; Magdalena Wysocka; Danilo Miranda Gusicuma; André Freitas (CoRR, 2025)