A fused deep learning approach to transform drug repositioning

November 2025 Kun Li, Jiacai Yi, Qing Ye, Xixi Yang, Long Yu, YouChao Deng, Chengkun Wu, Tingjun Hou, Dejun Jiang, Dongsheng Cao Communications Chemistry

This work presents a fused deep learning framework for drug repositioning. By integrating heterogeneous biomedical signals within a unified predictive architecture, the study improves prioritization of repurposing candidates and expands the applicability of deep learning to data-sparse repositioning scenarios.