Predicting Rich Drug-Drug Interactions via Biomedical Knowledge Graphs and Text Jointly Embedding

Understand

Minimizing adverse reactions caused by drug-drug interactions has always been a momentous research topic in clinical pharmacology.

• Detecting all possible interactions through clinical studies before a drug is released to the market is a demanding task.
• The power of big data is opening up new approaches to discover various drug-drug interactions.
• However, these discoveries contain a huge amount of noise and provide knowledge bases far from complete and trustworthy ones to be utilized.