Drug repositioning, the process of discovering new therapeutic indications for existing drugs, has gained significant interest as a potential solution to the challenges of traditional drug discovery. In this proposal, we aim to address the critical issue of improving drug repositioning accuracy by introducing a novel feature selection approach based on hybrid artificial intelligence techniques and developing a lightweight deep learning-machine learning hybrid model.