Hao Li

DDI-MMAF: Multi-modal affine fusion of visual and semantic representations for anticancer drug synergy prediction.

DDI-MMAF is proposed, a lightweight cross-modal framework that avoids using explicit high-dimensional omics profiles as direct model inputs and enables accurate synergy prediction from raw minimalist inputs, offering a practical and efficient computational solution for cost-effective drug combination discovery.