The human genome functions as a physical, tangled structure rather than a linear digital code. This spatial complexity challenges AI models that treat genetic data as simple sequences. Researchers must now integrate 3D structural biology into machine learning architectures. Failure to account for this physicality limits the accuracy of predictive genomic tools.