Disease is driven by complex biological networks that remain only partially understood until experimentally resolved as a whole. Targets and compounds advance without clear biological understanding, leading to failure. AI and large-scale experimental data have scaled hypotheses and insights. The bottleneck now shifts to biological resolution.
