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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 findings related to lung cancer (mass, nodule, opacity).
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- - **Lab Agent**: Parses tumor marker labs (PSA, CA-125, AFP) against thresholds.
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- - **Coordinator Agent**: Combines results into an early cancer screening summary.
 
 
 
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- ## Try it
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- This Space comes with sample data:
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- - `samples/sample_xray.jpg` public domain chest X-ray
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- - `samples/sample_labs.txt` mock tumor marker results
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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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+
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+ ## Try it online
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+ This app comes with demo data:
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+
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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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+
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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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+ ---
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+
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+ ## Run locally
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+
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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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