Data Science
The traditional methods of evidence synthesis, such as manually classifying abstracts or extracting data from publications, are time-consuming and resource-intensive. Our lab utilizes advanced data science techniques, including natural language processing (NLP), to automate these processes.
Related Publications
Auto-STEED: A data mining tool for automated extraction of experimental parameters and risk of bias items from in vivo publications
From data deluge to publomics: How AI can transform animal research.
Summer school for systematic reviews of animal studies: Fostering evidence-based and rigorous animal research.
Large language models to process, analyze, and synthesize biomedical texts: a scoping review
STEED: A data mining tool for automated extraction of experimental parameters and risk of bias items from in vivo publications.
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