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https://github.com/dadvaiahpavan/ai-healthcare-research-assistant
https://github.com/dadvaiahpavan/ai-healthcare-research-assistant
Last synced: 8 days ago
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- Host: GitHub
- URL: https://github.com/dadvaiahpavan/ai-healthcare-research-assistant
- Owner: DadvaiahPavan
- License: mit
- Created: 2024-12-18T18:39:58.000Z (18 days ago)
- Default Branch: main
- Last Pushed: 2024-12-18T19:09:05.000Z (17 days ago)
- Last Synced: 2024-12-18T19:40:56.764Z (17 days ago)
- Language: Python
- Size: 0 Bytes
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# 🩺 AI Healthcare Research Assistant
## 🌟 Project Overview
The AI Healthcare Research Assistant is an advanced, AI-powered platform designed to revolutionize medical research by providing intelligent insights, accelerating data analysis, and supporting critical decision-making in healthcare.
## 🚀 Key Features
### 1. 🔬 Clinical Trials Explorer
- Analyze and discover the latest clinical trials
- Comprehensive research data visualization
- Advanced filtering and search capabilities
### 2. 🩺 Disease Prediction System
- AI-driven predictive modeling for disease progression
- Machine learning-based risk assessment
- Personalized health insights generation
### 3. 💊 Treatment Innovation Tracker
- Discover cutting-edge treatment approaches
- Analyze potential medical interventions
- Research-driven treatment strategy development
### 4. 📚 Medical Literature Review
- Automated comprehensive research summaries
- AI-powered insight extraction
- Cross-referencing medical literature
## 🛠 Technology Stack
- **Frontend**: Streamlit
- **Backend**: Python
- **AI Models**:
- OpenRouter LLM
- Custom Machine Learning Models
- **Data Processing**: Pandas
- **Deployment**: Containerized Application
## 📋 Prerequisites
### System Requirements
- Python 3.8+
- pip (Python Package Manager)
- Git
### Required Dependencies
- streamlit
- pandas
- openrouter-ai
- python-dotenv
- scikit-learn
## 🔧 Installation
### 1. Clone the Repository
```bash
https://github.com/DadvaiahPavan/AI-Healthcare-Research-Assistant.git
cd ai-healthcare-research
```
### 2. Create Virtual Environment
```bash
python -m venv venv
source venv/bin/activate # On Windows, use `venv\Scripts\activate`
```
### 3. Install Dependencies
```bash
pip install -r requirements.txt
```
### 4. Set Up Environment Variables
Create a `.env` file in the project root:
```
OPENROUTER_API_KEY=your_openrouter_api_key
```
## 🚀 Running the Application
```bash
streamlit run app.py
```
## 🔐 Security and Privacy
- All patient data is processed locally
- No personal information is stored or transmitted
- Compliance with medical data protection standards
- Anonymized data processing
## 🤝 Contributing
### Contribution Guidelines
1. Fork the repository
2. Create a feature branch
3. Commit your changes
4. Push to the branch
5. Create a Pull Request
### Code of Conduct
- Respect medical research ethics
- Maintain patient data confidentiality
- Provide constructive feedback
## 📊 Project Structure
```
ai-healthcare-research/
│
├── app.py # Main Streamlit application
├── .env # Environment variables
├── requirements.txt # Project dependencies
│
├── src/ # Source code
│ ├── drug_discovery.py
│ ├── data_processor.py
│ └── ...
│
├── data/ # Sample and processed data
│ ├── clinical_trials/
│ └── medical_datasets/
│
└── docs/ # Documentation
└── ...
```
## 🧪 Testing
### Running Tests
```bash
python -m pytest tests/
```
## 📈 Future Roadmap
- Enhanced machine learning models
- More comprehensive medical databases
- Real-time research updates
- Advanced predictive analytics
## 📜 License
[MIT License](LICENSE)
## 🙏 Acknowledgments
- OpenRouter AI
- Medical Research Community
- Open-source Contributors
## 📞 Contact
- **Project Maintainer**: Dadvaiah Pavan
- **Email**: [email protected]
- **LinkedIn**: https://www.linkedin.com/in/dadvaiah-pavan/
---
**Disclaimer**: This is a research tool and should not replace professional medical advice. Always consult healthcare professionals for medical guidance.