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Multimodal AI for Imaging–Omics Data Fusion with Interpretable Insights
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Multimodal data combining imaging and omics is becoming increasingly common.
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We present novel AI methods that fuse these data types to build powerful predictive systems.
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Diagnostic accuracy is paramount, but so is interpretability to engender trust in the AI and uncover biological insights
