> ## 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.

# Indication expansion

> Identify the patient subsets and indications where a therapeutic is most likely to succeed.

Your drug works — but for which patients, and in which other diseases? Bioptimus models score archival cohorts across disease, stage, and mechanism of action to surface the patient subsets whose spatial biology matches what your drug needs.

## What it enables

* Screen thousands of archived slides from completed trials as a biological engine
* Prioritize new indications grounded in spatial and molecular biology
* Focus enrollment on subsets most likely to respond

## How it works

<Steps>
  <Step title="Embed archival cohorts">
    Run [H-Optimus](/documentation/models/h-optimus) or [M-Optimus](/documentation/models/m-optimus) across archived slides at scale with [cohorts](/guides/workflows/cohort).
  </Step>

  <Step title="Score against your mechanism">
    Build downstream classifiers that score cohorts by disease, stage, and mechanism of action.
  </Step>

  <Step title="Rank candidate subsets">
    Identify patient subsets and indications with the strongest signal.
  </Step>
</Steps>