medical_affairs/publication_gap_scan

# Publication Gap Scan

## Intended Use
Publication Gap Scan supports life sciences workflows with draft outputs for human review.

## Limitations
- Synthetic examples only
- Requires governance review before production use

## Governance
See `governance/policies` and `governance/compliance`.

from __future__ import annotations

from runtime import llm


def run(input_data, context):
    text = input_data if isinstance(input_data, str) else str(input_data)
    system = "You are a life sciences agent. Keep outputs concise and compliant."
    response = llm.generate("Task for publication_gap_scan: " + text, system=system)
    return {
        "output_markdown": "# Publication Gap Scan\n\n" + response.get("text", ""),
        "output_json": {"agent": "medical_affairs/publication_gap_scan", "response": response.get("text", "")},
    }

# Medical Information Disclaimer
This platform provides draft support only; qualified review is required.