AI Takes The Guesswork Out Of Drug Interactions

AsianScientist (May 3, 2018) – A research team at the Korea Advanced Institute of Technology (KAIST) has developed a computational framework that can accurately predict drug-drug and drug-food interactions. They published their findings in the Proceedings of the National Academy of Sciences. Drug interactions, including drug-drug interactions (DDIs) and drug-food constituent interactions (DFIs), can trigger unexpected pharmacological effects including adverse drug events (ADEs). The causal mechanisms of ADEs are often unknown. However, current prediction methods do not provide sufficient details beyond the chance of DDI occurrence, and detailed drug information is often unavailable for DDI prediction.