Multimodal deep learning enhances genomic risk prediction for cardiometabolic diseases
Abstract Cardiometabolic diseases (CMDs) are multifactorial disorders influenced by numerous genetic variants and their complex interactions. Although recent studies have advanced the understanding of genetic risk prediction, current approaches predominantly rely on linear models that may not fully capture the complex,...