Self-supervised representation learning

PULSE infers proteins and metabolites from routine bloods, then predicts six diseases at 0.72-0.83

The UK Biobank study reports generated metabolomic profiles beating every benchmark, and disease models built on synthetic proteomics at AUC 0.72 to 0.83. The check exists only where the assays were run.