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README.md
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sdk: gradio
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sdk_version:
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app_file: app.py
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pinned: false
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⚠️ **Research demo only. Not for clinical use.**
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## What it does
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- **Imaging Agent**: Analyzes chest X-rays for
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You can also upload your own test files (⚠️ do not use real patient data).
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sdk: gradio
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sdk_version: 5.44.0
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app_file: app.py
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pinned: false
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---
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⚠️ **Research demo only. Not for clinical use.**
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## What it does
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- **Imaging Agent** 🖼️: Analyzes chest X-rays for lung cancer–related findings (*Mass, Nodule, Opacity*).
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- Produces probability estimates.
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- Generates a **heatmap overlay** showing suspicious regions.
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- **Lab Agent** 🧪: Parses tumor marker labs (PSA, CA125, AFP) against thresholds.
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- **Coordinator Agent** 📋: Combines results into an early cancer screening summary with disclaimers.
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- **Extra Samples**: MRI and CT text reports are included as input examples for future expansion.
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---
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## Try it online
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This app comes with demo data:
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- `samples/sample_xray1.png` — normal chest X-ray
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- `samples/sample_xray2.png` — suspicious chest X-ray
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- `samples/sample_labs.txt` — tumor marker results
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- `samples/sample_mri.txt` — example MRI report
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- `samples/sample_ct.txt` — example CT scan report
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⚠️ Please **do not use real patient data**. This demo is for educational purposes only.
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---
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## Run locally
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### 1. Install dependencies
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```bash
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pip install -r requirements.txt
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