153 citations
- University of ManchesterGB4 papers
- Idiap Research InstituteCH3 papers
- Cancer Research UKGB1 paper
- Centre National de la Recherche ScientifiqueFR1 paper
- Czech Academy of Sciences, Nuclear Physics InstituteCZ1 paper
- Delft University of TechnologyNL1 paper
- East Carolina UniversityUS1 paper
- GSI Helmholtz Centre for Heavy Ion ResearchDE1 paper
- Harvard UniversityUS1 paper
- Health Data Research UKGB1 paper
- Helmholtz MunichDE1 paper
- Institut de Radioprotection et de Sûreté NucléaireFR1 paper
5 papers
Large Language Models, scientific knowledge and factuality: A framework to streamline human expert evaluation
Magdalena Wysocka, Oskar Wysocki, Maxime Delmas +2
The paper introduces a framework for the evaluation of the encoding of factual scientific knowledge, designed to streamline the manual evaluation process typically conducted by dom…
Assessing the communication gap between AI models and healthcare professionals: explainability, utility and trust in AI-driven clinical decision-making
Oskar Wysocki, Jessica Katharine Davies, Markel Vigo +4
This paper contributes with a pragmatic evaluation framework for explainable Machine Learning (ML) models for clinical decision support. The study revealed a more nuanced role for…
Transformers and the representation of biomedical background knowledge
Oskar Wysocki, Zili Zhou, Paul O'Regan +4
Specialised transformers-based models (such as BioBERT and BioMegatron) are adapted for the biomedical domain based on publicly available biomedical corpora. As such, they have the…
A Graph Based Neural Network Approach to Immune Profiling of Multiplexed Tissue Samples
Natalia Garcia Martin, Stefano Malacrino, Marta Wojciechowska +8
Multiplexed immunofluorescence provides an unprecedented opportunity for studying specific cell-to-cell and cell microenvironment interactions. We employ graph neural networks to c…
A new Standard DNA damage (SDD) data format
J. Schuemann, A. McNamara, J. W. Warmenhoven +48
Our understanding of radiation induced cellular damage has greatly improved over the past decades. Despite this progress, there are still many obstacles to fully understanding how…