Substrate AI — Home of Synthetic Intelligence by Substrate™
Policy-bounded simulation for treatment planning research
Translational Oncology
We explore agent-based simulations that model treatment responses under real-world constraints. Powered by SVM-OS, these studies aim to help teams reason about options, trade-offs, and risk - with audit trails for every step.
Translational Oncology - At a glance
What “good” looks like (targets)
What “good” looks like (targets)
What “good” looks like (targets)
- Explainable scenarios — why a simulated plan improved or degraded under constraints.
- Comparative planning — side-by-side runs to explore trade-offs.
- Operational realism — simulations respect policies and safety constraints.
- Provenance — each result is backed by replayable event logs.
Safeguards & scope
What “good” looks like (targets)
What “good” looks like (targets)
- Not a medical device. Outputs are research tools to inform exploration, not to direct care.
- Human-in-the-loop by design: clinicians/researchers control inclusion criteria, constraints, and interpretation.
- Data handling aligns to customer governance; we practice data minimization and permissioned execution.
Detailed controls available under NDA.
Status
What “good” looks like (targets)
Status
- Prototype studies in development with internal reviewers.
- Seeking design partners (academic/clinical/industry) for scoped pilots.