Molecular-informed image classification for predicting drug sensitivity in cancer therapy

Extensive experimental evaluations demonstrate that our method significantly outperforms techniques in classifying molecular patterns correlated with drug sensitivity, offering a reliable and interpretable foundation for advancing personalized cancer therapy strategies. This approach seamlessly integrates cutting-edge adaptive imaging models with the emerging needs of molecular-insight-driven therapeutic optimization, bridging critical gaps in current cancer informatics research.