Model1d ago
Physical Genome Complexity Challenges AI Models
The human genome functions as a physical, tangled structure rather than a linear digital code. Current AI models struggle to predict how this 3D spatial folding influences gene expression. This structural gap limits the accuracy of genomic predictions. Researchers must now integrate physical geometry into machine learning architectures to unlock true genetic understanding.