Summary
An AI-powered platform integrated genetic and epigenetic data to identify causal gene targets for complex metabolic diseases. It mapped disease-relevant biological pathways at single-cell resolution and predicted high-value intervention points. The approach enabled multiplex gene regulation without altering DNA sequences. This supported scalable development of precision therapeutics with improved safety and targeting potential.