Therapy design AI

Rank combinations against tumor signatures before wet-lab spend.

Agemica's therapy design system ranks approved drug combinations against tumor signatures, prioritizing mechanism, selectivity, and validation readiness before any candidate is promoted.

How it works

Three steps. Re-runnable in days.

Pipeline
  • Decompose - break the omics signature into pathway dependencies.
  • Search - over combinations of FDA-approved interventions hitting those pathways.
  • Rank - by predicted apoptosis, selectivity vs. healthy cells, and known PK profiles.
Provenance

Trained on substrate the field already trusts.

1,000+
Cancer cell datasets analyzed for response signatures.
17
Rediscovered standards of care during in-silico validation across 17 cancers.
6
Lead therapies / combinations validated ex-vivo across 30 cancer models.
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