The human genome functions as a physical, tangled structure rather than a linear digital code. This spatial complexity creates a significant hurdle for AI models attempting to predict genetic expression. Current algorithms struggle to map these 3D interactions. Biologists must now integrate structural physics to improve predictive accuracy in genomic research.