2024
DOI: 10.1002/advs.202405861
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DrugFormer: Graph‐Enhanced Language Model to Predict Drug Sensitivity

Xiaona Liu,
Qing Wang,
Minghao Zhou
et al.

Abstract: Drug resistance poses a crucial challenge in healthcare, with response rates to chemotherapy and targeted therapy remaining low. Individual patient's resistance is exacerbated by the intricate heterogeneity of tumor cells, presenting significant obstacles to effective treatment. To address this challenge, DrugFormer, a novel graph‐augmented large language model designed to predict drug resistance at single‐cell level is proposed. DrugFormer integrates both serialized gene tokens and gene‐based knowledge graphs… Show more

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