> ## Documentation Index
> Fetch the complete documentation index at: https://docs.bioptimus.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Treatment response & trial design

> Discover multimodal biomarker signatures that distinguish responders from non-responders.

Two patients, same diagnosis, same standard biomarkers — different spatial biology and different outcomes. Bioptimus models discover multimodal signatures that separate responders from non-responders, even from the small cohorts typical of early-phase trials.

## What it enables

* Build response-predictive signatures from limited early-phase data
* Support patient enrichment strategies before late-stage commitment
* Inform trial design with biology the standard biomarker panel misses

## How it works

<Steps>
  <Step title="Embed trial cohorts">
    Extract features with [H-Optimus](/documentation/models/h-optimus) or [M-Optimus](/documentation/models/m-optimus).
  </Step>

  <Step title="Learn a response signature">
    Train downstream models that distinguish responders from non-responders.
  </Step>

  <Step title="Apply to enrichment & design">
    Use the signature to inform enrollment and trial design decisions.
  </Step>
</Steps>