Læringspåvirkning: ChatGPT og lignende værktøjer Closed Challenge Morten Hertzum University staff, Roskilde University (RUC)
Pathogenicity assessment of Shiga toxin-producing Escherichia coli (STEC) and the public health risk posed by contamination of food with STEC Research, Nora
Comparative pathogenicity study of ten different betanodavirus strains in experimentally infected European sea bass, <em>Dicentrarchus labrax</em> (L.) Research, Nora
Pan-Genome Analysis of Human Gastric Pathogen H. pylori: Comparative Genomics and Pathogenomics Approaches to Identify Regions Associated with Pathogenicity and Prediction of Potential Core Therapeutic Targets Research, Nora
EFSA Panel on Biological Hazards (BIOHAZ); Scientific Opinion on VTEC-seropathotype and scientific criteria regarding pathogenicity assessment Research, Nora
Draft Genome Sequences of Two Avian Pathogenic<i> Escherichia coli </i>Strains of Clinical Importance, E44 and E51 Research, Nora
CSO reduction by integrated model predictive control of stormwater inflows: a simulated proof‐of‐concept using linear surrogate models Research, Nora
Prediction of Disease Causing Non-Synonymous SNPs by the Artificial Neural Network Predictor NetDiseaseSNP. Research, Nora
Outcome of EPIZONE Extension ON VER/VNN: Pathogenicity study of 10 betanodavirus strains with an in vivo challenge in European sea bass (Dicentrarchus labrax) Research, Nora