The human genome functions as a physical 3D structure rather than a linear digital code. Current AI models struggle to map how these spatial folds regulate gene expression. This gap limits the accuracy of genomic predictions. Researchers must now integrate structural biology into machine learning to move beyond simple sequence analysis.