AI interpretation
Interpretation is an optional layer after pipeline outputs exist. Every summary cites computed values from completed runs — the LLM does not invent numbers.
Prerequisites
- One or more completed oncology pipeline runs (communication, immune profile, mutation landscape, or survival)
- AI interpretation enabled for your workspace (ask your administrator if the Interpret button isn't available)
Launching interpretation
Open the study Interpret page and select the completed runs you want summarized.
Interpretation modes
Oncology interpretation templates cover the major pipeline outputs:
| Context | When | Output |
|---|---|---|
| Cell-cell communication | Communication run complete | Signaling axis summary with cited interaction scores and pathway rankings |
| Immune phenotype | Immune profile run complete | Deconvolution, TIDE phenotype, exhaustion, and repertoire narrative |
| Mutation landscape | Mutation run complete | TMB, driver alterations, signature, and oncoprint interpretation |
| Survival | Survival run complete | Kaplan-Meier and Cox findings with cited hazard ratios and p-values |
| Multi-modal summary | Multiple source runs | Integrated narrative connecting TME, immune, mutation, and outcome findings |
Guardrails
Every interpretation artifact includes:
- Research / non-clinical disclaimer
- Metric citation validation — numbers must match run artifacts
- Cautious language — hypotheses about biology and therapy response, not clinical recommendations
The interpret pipeline rejects requests when source run artifacts are missing or incomplete.
What interpretation does not do
- Diagnose cancer or recommend treatment
- Replace expert review of pipeline inputs and QC
- Compute new metrics — it explains metrics already in artifacts
- Fabricate survival statistics, TMB values, or interaction p-values without supporting data