https://supp.ai/

SUPP. Al - Discover Supplement-Drug Interactions is an application for browsing evidence of supplement-drug interactions (SDIs) extracted from the biomedical literature. It is a model to automatically extract supplement information and identify such interactions from the scientific literature. To address the lack of labeled data for SDI identification, it is use labels of the closely related task of identifying drug-drug interactions (DDIs) for supervision. It is fine-tune the contextualized word representations of the RoBERTa language model using labeled DDI data, and apply the fine-tuned model to identify supplement interactions. It is extract 195k evidence sentences from 22M articles (P=0.82, R=0.58, F1=0.68) for 60k interactions.