Documentos relacionados

1. An attentive joint model with transformer-based weighted graph convolutional network for extracting adverse drug event relation.
2. NRBdMF: A Recommendation Algorithm for Predicting Drug Effects Considering Directionality.
3. Improving drug-drug interactions prediction with interpretability via meta-path-based information fusion.
4. Menopause-Biology, consequences, supportive care, and therapeutic options.
5. MATT-DDI: Predicting multi-type drug-drug interactions via heterogeneous attention mechanisms.
6. Molormer: a lightweight self-attention-based method focused on spatial structure of molecular graph for drug-drug interactions prediction.
7. The Immunogenetics of Cutaneous Drug Reactions.
8. Investigating Severe Adverse Reactions: Examples of the ANTICIPATE Methodology at Work.
9. Consequences to Patients, Clinicians, and Manufacturers When Very Serious Adverse Drug Reactions Are Identified (1997-2019): A Qualitative Analysis from the Southern Network on Adverse Reactions (SONAR).
10. Application of machine learning models to animal health pharmacovigilance: A proof-of-concept study.