pikachuthunderbolt/biomarker-discovery-hcc

title: HCC Biomarker Discovery Platform emoji: 🧬 colorFrom: blue colorTo: purple sdk: streamlit sdkversion: 1.28.0 appfile: app.py pinned: false ---

🔬 Clinical HCC Biomarker Discovery Platform

A production-ready tool for liver cancer research and clinical decision support with machine learning and SHAP interpretability.

🚀 Features

• —Advanced Machine Learning with SHAP explanations
• —Survival Analysis with Kaplan-Meier curves
• —Biomarker Discovery and validation
• —EU Regulatory Compliance reporting
• —Real Data Analysis with automated validation

🎮 Quick Start

1. 1.Upload your HCC dataset (CSV format)
2. 2.Explore data quality and clinical patterns
3. 3.Train ML models with automatic SHAP explanations
4. 4.Get individual patient predictions with risk stratification
5. 5.Generate regulatory compliance reports

📊 Sample Data

The platform works with clinical HCC data including:

• —Patient demographics (age, gender)
• —Liver function tests (ALT, AST, bilirubin, albumin)
• —Tumor markers (AFP)
• —Genomic data (TERT, CTNNB1, TP53 mutations)
• —Survival data

🏥 Clinical Applications

• —Early detection of HCC progression
• —Patient risk stratification
• —Treatment response prediction
• —Biomarker discovery
• —Regulatory submission preparation

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