MIGOE: Minimum Information for Generative Omics Evaluation
posted on March 2026
A framework establishing rigorous standards for evaluating generative AI models in omics research.
MIGOE defines six core principles (Tier Alignment, Data Provenance, Baseline & Shortcut Audit,
Uncertainty Quantification, Downstream Biological Validity, Open Science) to ensure trustworthy
and auditable clinical AI deployment.