#cancer-diagnosis News & Analysis

2 articles tagged with #cancer-diagnosis. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles

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.

AIBullisharXiv – CS AI · May 296/10

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Genetically Aligned Patient Representations Improve Hematological Diagnosis

Researchers developed a framework that aligns single-cell white blood cell images with genetic data (karyotypes and mutations) to improve hematological cancer diagnosis. Using a two-stage training approach combining self-supervised vision learning and supervised contrastive alignment, the model outperforms existing histopathology foundation models and enables disease retrieval based on genetic alterations.