Leveraging genetic interactions for adverse drug-drug interaction prediction

Adverse cardiovascular drug interactions.

Drug-drug interaction prediction assessment.

Model-based drug-drug interaction (DDI) is an important in-silico tool to assess the in vivo consequences of in vitro DDI. Before its general application to new drug compounds, the DDI model is always established from known interaction data. For the first time, tests for difference and equivalent tests are implemented to compare reported and model-base simulated DDI (log AUCR) in the sample mea...

Multitask Dyadic Prediction and Its Application in Prediction of Adverse Drug-Drug Interaction

Adverse drug-drug interactions (DDIs) remain a leading cause of morbidity and mortality around the world. Identifying potential DDIs during the drug design process is critical in guiding targeted clinical drug safety testing. Although detection of adverse DDIs is conducted during Phase IV clinical trials, there are still a large number of new DDIs founded by accidents after the drugs were put o...

Adverse drug interactions in dentistry

According to the United States Food and Drug Administration web site, there are more than 15,000 currently approved prescription and over-the-counter drugs, diagnostics and intravenous supplementation products in the United States (78). Couple these with the hundreds of herbal and dietary supplements that undergo little if any scrutiny by the Food and Drug Administration (48), and it is no wond...

Adverse drug interactions in anesthesia.

Anesthesia often involves the administration of several drugs belonging to different classes. In addition, many patients will be taking a number of drugs related to their surgical condition or for other medical diseases. Thus, there is a considerable potential for drug interactions in the perioperative period, some of which may be potentially harmful to patients. The most common interactions in...