AI RESEARCH
DeepDTF: Dual-Branch Transformer Fusion for Multi-Omics Anticancer Drug Response Prediction
arXiv CS.LG
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ArXi:2603.24265v1 Announce Type: new Cancer drug response varies widely across tumors due to multi-layer molecular heterogeneity, motivating computational decision for precision oncology. Despite recent progress in deep CDR models, robust alignment between high-dimensional multi-omics and chemically structured drugs remains challenging due to cross-modal misalignment and limited inductive bias. We present DeepDTF, an end-to-end dual-branch Transformer fusion framework for joint log(IC50) regression and drug sensitivity classification.