Xiangxiang Zeng

Expanding Knowledge Boundaries via LLM-Grounded Alignment for Drug Combination Recommendation

Combination therapy is widely used to treat complex diseases, yet predicting synergistic drug combinations remains challenging for rare and underrepresented cell lines due to severe data sparsity. Existing methods rely primarily on observed drug–cell responses and learn representations within a limited experimental kno...