DiffPro: Decoupled Generative Prior with Diffusion Models for Efficient Few-Shot Drug Synergy Prediction
Predicting drug synergy is essential for optimizing combination therapies in cancer treatment. Under extreme data scarcity, existing computational methods struggle to generalize to new cell lines. Although meta-learning approaches have shown promise, a critical limitation lies in their reliance on a unimodal Gaussian p...