Recently, attention mechanism and derived models have gained significant traction in drug
development due to their outstanding performance and interpretability in handling complex …

Drug side effects have become paramount concerns in drug safety research, ranking as the
fourth leading cause of mortality following cardiovascular diseases, cancer, and infectious …

Digital twins represent a promising technology within the domain of precision healthcare,
offering significant prospects for individualized medical interventions. Existing systematic …

Abstract Accurate prediction of Adverse Drug Reactions (ADRs) at the patient level is
essential for ensuring patient safety and optimizing healthcare outcomes. Traditional …

Precisely predicting Drug-Drug Interactions (DDIs) carries the potential to elevate the quality
and safety of drug therapies, protecting the well-being of patients, and providing essential …

Exploring the associations between microbes and drugs offers valuable insights into their
underlying mechanisms. Traditional wet lab experiments, while reliable, are often time …

A central issue in drug risk-benefit assessment is identifying frequencies of side effects.
Frequencies were experimentally determined in randomized controlled clinical trials before …

The standardization of TCM formula granules and the monitoring of adverse reactions can
assist clinicians in promoting rational drug use and improving treatment effects. However …

Drug poisoning in animals is generally due to adverse drug reactions (ADRs), drug-drug
interactions (DDIs) or iatrogenisis. No drug is exempt from the risk of adverse reactions or …