The following represents disclosure information provided by authors of this abstract. The program committee has reviewed all presenting author disclosure reports, identified potential conflicts of interest, and implemented strategies to manage those areas of conflict, where appropriate. All relationships are considered compensated. Relationships are self-held unless otherwise noted. I = Immediate Family Member, Inst = My Institution
 
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AI-driven large language models for multimodal prediction of homologous recombination deficiency using clinical features and histopathological whole-slide images.
 
Zhao Sun
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Lizhe Zhu
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Haoyu Wang
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Tianjin Huang
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Jinsui Du
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Mengqin Wu
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Yu Ren
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Bin Wang
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