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SURMOUNT-1 data shows clear dose-response patterns

One study proposed a drug response prediction method based on graph neural networks (GNN), which can integrate drug molecular graphs and gene expression data to predict the response of cancer cells to drugs and reveal their mechanisms of action [186]

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However, successful implementation requires careful patient selection, thoughtful monitoring, proactive management of side effects, and shared decisionmaking

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