Ó³»­´«Ã½

Translation of foundation models from benchmarks to clinical impact has been slow, revealing a fundamental limitation: correlation-based predictions from models trained on observational data miss causal pathways that determine disease course and treatment response. Hybrid models combining deep learning with representations of biological mechanisms will enable causal reasoning and provide mechanistic understanding required for disease intervention.