Adverse drug reactions (ADRs) are a severe healthcare concern worldwide, however, accurate prediction of pediatric-specific ADRs remains challenging. Here, the authors present a machine learning approach integrating consensus-driven signal detection and multi-level biological features, significantly enhancing pediatric ADR prediction.
- Yao Tian
- Jiacai Yi
- Dongsheng Cao