#histopathology2 articles

2 articles

AIBullisharXiv – CS AI · 5d ago7/104

🧠

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 · Feb 277/106

🧠

Enabling clinical use of foundation models in histopathology

Researchers developed a method to improve foundation models in medical histopathology by introducing robustness losses during training, reducing sensitivity to technical variations while maintaining accuracy. The approach was tested on over 27,000 whole slide images from 6,155 patients across eight popular foundation models, showing improved robustness and prediction accuracy without requiring retraining of the foundation models themselves.