SYNPRED: A Synergistic Approach to Multimodal Learning for Clinical Prediction

Multimodal medical data captures complementary aspects of disease. It provides a comprehensive basis for diagnosis and the identification of biological associations linked to progression or treatment response. Established contrastive learning approaches exploit shared information across modalities,