The human genome functions as a physical object rather than a digital algorithm. This 3D structural complexity creates a gap for AI models attempting to predict genetic behavior. Current tools struggle with these spatial tangles. Researchers must now integrate physical geometry into machine learning architectures to improve genomic accuracy.