FSSM-DDI: Fusion State Space Model for predicting drug-drug interaction using social-media and drug descriptions (opens in new tab)

Predicting drug-drug interactions (DDIs) from social-media and drug descriptions is crucial for healthcare, drug regulation, and pharmaceutical research, yet remains a challenging task. Existing deep learning and Transformer-based approaches often struggle with modeling long-range dependencies within sentences or entail high computational costs, limiting their practical applicability in large-scale drug safety screening. To overcome these limitations, we propose a Fusion State Space Model (FS...