© Rakhesh Krishna P. All rights reserved.
This project should not be forked, distributed, or modified without prior permission.
- Disease Progression Analyzer is a specialized AI assistant for evaluating neurodegenerative disease progression.
- Built with Streamlit, LangChain, and Groq to provide in-depth assessments and actionable insights.
- Supports clinical analysis, biomarker interpretation, and risk assessment for a comprehensive patient overview.
demo.mp4
- 🖥️ Clinical Assessment Summary - Summarizes disease stage, key risk factors, and primary concerns.
- 🎞️ Cognitive Status Analysis - Interprets MMSE, ADAS-Cog, CDR, and cognitive trajectory.
- 🎯 Neuroimaging Findings - Analyzes hippocampal volume, cortical thickness, PET scans, and atrophy patterns.
- 🧑🤝🧑 Biomarker Analysis - Assesses CSF, blood biomarkers, and their correlation with clinical findings.
- ⚡ Risk Factor Evaluation - Includes genetic, lifestyle, and modifiable risk assessments.
- 📊 Disease Progression Indicators - Flags key progression markers and potential warning signs.
- 🐍 Programming Language: Python
- 🌐 Framework: Streamlit for web interface
- 👁️ Library: LangChain for language model interface, dotenv for environment management
- 🔥 LLM Model Provider: Groq (llama3-8b-8192) for robust language processing
- 📟 Data Processing: Tools for handling complex biomedical data
