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Found 2 papers, 1 papers with code
Can Large Language Models Understand Molecules?
Notably, LLaMA-based SMILES embeddings show results comparable to pre-trained models on SMILES in molecular prediction tasks and outperform the pre-trained models for the DDI prediction tasks.
Dual-branch residual network for lung nodule segmentation
Experimental results show that the DB-ResNet achieves superior segmentation performance with an average dice score of 82. 74% on the dataset.
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