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欢迎收听今天的医学新发现播客！今天，我们要探讨的是一篇来自IEEE医学成像交易的突破性研究：通过全切片图像进行癌症预后。这项研究提出了一种新的基因组信息超注意力网络——G-HANet，能够从病理全切片图像中有效学习基因组关联，提升单模态图像基础的癌症预后能力。与现有的多模态方法相比，G-HANet在训练效率和跨模态交互学习方面表现更优。这项技术有望成为一种强大的工具，帮助解决癌症预后中基因组数据不足的问题，推动精准肿瘤学的发展。想了解更多吗？敬请关注我们的详细解读！
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