232 citations,
January 2016 in “BMC Bioinformatics” The method can effectively extract biomedical information without needing expert annotation, performing better than previous models.
37 citations,
December 2014 in “Journal of Biomedical Informatics” Researchers created LabeledIn, a detailed list of drug uses, showing the importance of human input in making such lists.
11 citations,
April 2019 in “Journal of Biological Research” The study identified 12 potential biomarkers for hair loss and how they affect hair growth.
AnnoPharma effectively identifies substances causing adverse drug reactions in medical abstracts.
3 citations,
April 2019 in “Clinical Therapeutics” Computational tools identified 29 drugs that could potentially target 19 genes involved in chemotherapy-induced hair loss, which could lead to more effective treatments.