Sophont launches Holon-S1 to predict gene activity from pathology slides

Oct 20, 2026
Sophont launches Holon-S1, a pan cancer AI model that predicts spatial gene and biological pathway activity from routine pathology slides. The model is available for research use only.

Sophont announced Holon-S1 in a press release, describing it as a pan cancer AI model that predicts spatial gene and biological pathway activity from routine hematoxylin and eosin pathology slides. The model is available for research use only.

Sophont evaluated Holon-S1 across 16 organ types, more than 15 scanners, and both formalin fixed, paraffin embedded and fresh frozen tissue. In a retrospective osteosarcoma case, the model identified a fibroblast associated program that included FAP, the target of a therapy to which the patient responded, despite not being trained on osteosarcoma.

In triple negative breast cancer, the spatial organization of predicted EREG activity was associated with response to chemotherapy before surgery in discovery and separate held out cohorts. Sophont plans further retrospective and prospective studies to assess possible diagnostic use.

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