News
New paper in eBioMedicine!
We analyzed animal studies of drugs approved for treating multiple sclerosis in humans and compared them to drugs that failed in clinical trials. Could the animal data have predicted which drugs would succeed in humans? Surprisingly, over 90 percent of animal experiments were published after regulatory approval for these drugs to treat multiple sclerosis. Great work, Ingrid! Read the full article here: https://doi.org/10.1016/j.ebiom.2024.105434
New paper in EMNLP!
Our new paper on using large language models to mine large volumes of clinical trial data is now published. These models enable large-scale assessments of clinical trials, akin to a “data ocean” approach used in genomics, but specifically for clinical trial data! As always outstanding work, Simona! Read the full article here: https://aclanthology.org/2024.emnlp-main.1050/
New systematic review out: Diagnostic errors in multiple sclerosis
As part of his master’s thesis, Wolfgang Zürrer systematically reviewed diagnostic errors in multiple sclerosis, finding that such errors are common, with women being disproportionately affected. Excellent work, Wolfgang—keep it up! Read the full article here: https://doi.org/10.1177/13524585241274527
STRIDE-Lab wins the University of Zurich 3R Awards 2024
New paper out in Nature Reviews Methods Primer
This Primer presents guidance for conducting a rigorous systematic review with or without meta-analysis of preclinical studies including animal and in vitro studies. It also discusses the limitations of systematic reviews and outlines current developments such as systematic review automation. By following this Primer, researchers can ensure the rigour and usefulness of their systematic reviews, ultimately benefiting decision-making and research outcomes in preclinical research.
Check it out here: https://doi.org/10.1038/s43586-024-00347-x