Model2h ago
Physical Genome Complexity Challenges AI Models
The human genome functions as a physical 3D structure rather than a linear digital code. This spatial complexity creates a gap for AI models trained primarily on sequential data. Current tools struggle to predict how DNA folding influences gene expression. Biologists must integrate structural physics into machine learning to unlock true genetic understanding.