AIBullisharXiv – CS AI · Mar 37/104
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Disentangled Multi-modal Learning of Histology and Transcriptomics for Cancer Characterization
Researchers developed a new disentangled multi-modal framework that combines histopathology and transcriptome data for improved cancer diagnosis and prognosis. The framework addresses key challenges in medical AI including multi-modal data heterogeneity and dependency on paired datasets through innovative fusion techniques and knowledge distillation strategies.