Yu-Xing Ding

Transfer learning-based multimodal prediction for efficient screening of afatinib co-amorphous systems.

Most active pharmaceutical ingredients (APIs) are poorly water-soluble, limiting their pharmaceutical performance. Co-amorphous (CA) systems offer a promising formulation strategy, yet CA prediction remains constrained by limited labeled data and insufficient molecular representation. Here, a multimodal transfer-learni...