The human genome functions as a physical, tangled structure rather than a linear digital code. Current AI models struggle to predict how this 3D folding influences gene expression. This structural gap limits the accuracy of genomic predictions. Researchers must now integrate spatial biology to move beyond simple sequence-based learning for medical breakthroughs.