Researchers introduce CT-ADE, a comprehensive dataset for predicting adverse drug events (ADEs) from clinical trial results, offering a powerful new tool for pharmaceutical safety research.

• Includes 2,497 drugs and 168,984 drug-ADE pairs annotated with MedDRA ontology
• Uniquely integrates treatment and target population data for more accurate predictions
• Enables comparison of different populations and drug types for personalized medicine
• Addresses a critical patient safety need in pharmaceutical development

This research is particularly valuable for reducing medication risks, improving clinical trial design, and accelerating the development of safer pharmaceuticals through better predictive capabilities.

An Evaluation Benchmark for Adverse Drug Event Prediction from Clinical Trial Results