Deep learning model enables accurate and scalable drug-drug interaction prediction

Managing complex medical conditions often requires the simultaneous use of multiple different drugs, referred to as polypharmacy. While necessary, this significantly increases the risk of drug-drug interactions (DDIs), which can either enhance or decrease therapeutic effects or trigger adverse drug reactions (ADRs), potentially leading to longer hospital stays or even life-threatening outcomes.