1275-Predicting Anticancer Drug Interactions

Paper Talk · Jul 13, 2026 · 17m

This systematic review examines the implementation of machine learning and deep learning architectures to predict drug-drug interactions specifically involving anticancer medications. Because oncology patients frequently require polypharmacy, they face a heightened risk of adverse events or reduced treatment efficacy caused by complex biochemical interferences. The researchers analyzed 59 studies published through 2025, noting a significant shift toward advanced neural networks and knowledge graphs that outperform traditional laboratory methods in speed and cost. By utilizing databases like…