Can TransCDR Improve Cancer Drug Response Prediction with Deep Learning?

Original title: TransCDR: a deep learning model for enhancing the generalizability of cancer drug response prediction through transfer learning and multimodal data fusion for drug representation

Authors: Xiaoqiong Xia, Chaoyu Zhu, Yuqi Shan, Fan Zhong, Lei Liu

In this article, the focus is on predicting how well drugs work against cancer. It’s like trying to guess which tool works best for a specific job. Researchers made TransCDR, a smart way to figure out how effective a drug might be against cancer cells.

Original article: https://arxiv.org/abs/2311.12040