2 papers
cs.AI2025
Learning to Seek Evidence: A Verifiable Reasoning Agent with Causal Faithfulness Analysis
Yuhang Huang, Zekai Lin, Fan Zhong +1
Explanations for AI models in high-stakes domains like medicine often lack verifiability, which can hinder trust. To address this, we propose an interactive agent that produces exp…
q-bio.QM2023
TransCDR: a deep learning model for enhancing the generalizability of cancer drug response prediction through transfer learning and multimodal data fusion for drug representation
Xiaoqiong Xia, Chaoyu Zhu, Yuqi Shan +2
Accurate and robust drug response prediction is of utmost importance in precision medicine. Although many models have been developed to utilize the representations of drugs and can…