Model2h ago
Physical Genome Complexity Challenges AI Models
The human genome functions as a physical, tangled structure rather than a linear digital code. This spatial complexity creates a gap for AI models trained on sequential data. Current architectures struggle to predict how 3D folding influences gene expression. Researchers must now integrate structural biology to improve genomic prediction accuracy for medical practitioners.