Pathology AI usually needs a different model for every task. H-Optimus-1 is one model with 1.1B parameters, trained on one of the largest histology datasets. It is hitting state-of-the-art across major external benchmarks.

The benchmarks judging foundation models for spatial omics are too coarse to trust. This infographic poster lays out how to benchmark with transparent baselines, diverse datasets, biologically meaningful tasks, and new oncology-specific metrics. A practical standard for evaluating the next generation of models, presented at the American Association for Cancer Research Annual Meeting 2026.