PharmaShe focuses on women's health, especially in cancer care, with the goal of identifying novel, high-value therapies through drug repurposing and indication expansion, integrating RRF Formula (to deal with AI Hallucination)
By leveraging approved molecules in new dosage forms or for underserved patient populations, PharmaShe aims to address unmet clinical needs with differentiated pharmaceutical offerings.
The platform is powered by an Agentic AI system designed to drastically reduce research time and improve decision-making efficiency for product planning and innovation teams by integrating RRF Formula and Google DeepSomatic for minimizing AI Hallucination.
- Master Agent: Conversation orchestrator that interprets queries and delegates tasks
- Worker Agents: Specialized agents for different research domains
- Interactive Interface: Chat-based interface with data visualization
- Report Generation: Professional PDF/Excel reports
- IQVIA Insights Agent: Market trends, sales data, competitor analysis
- EXIM Trends Agent: Global API and formulation trade data
- Patent Landscape Agent: IP monitoring and freedom-to-operate analysis
- Clinical Trials Agent: Clinical development pipeline monitoring
- Internal Knowledge Agent: Company document analysis
- Web Intelligence Agent: Real-time scientific and regulatory research
- Report Generator Agent: Professional report creation
PharmaShe/
├── backend/ # FastAPI backend
│ ├── app/
│ │ ├── agents/ # AI agent implementations
│ │ ├── api/ # API endpoints
│ │ ├── core/ # Core configuration
│ │ ├── models/ # Database models
│ │ └── services/ # Business logic
│ ├── requirements.txt
│ └── Dockerfile
├── frontend/ # React frontend
│ ├── src/
│ │ ├── components/ # React components
│ │ ├── pages/ # Page components
│ │ ├── services/ # API services
│ │ └── utils/ # Utility functions
│ ├── package.json
│ └── Dockerfile
├── database/ # Database migrations and seeds
├── docker-compose.yml # Development environment
└── docs/ # Documentation
- Intelligent Research: AI-powered analysis across multiple data sources
- Market Intelligence: Real-time market trends and competitor analysis
- Patent Monitoring: IP landscape tracking and freedom-to-operate analysis
- Clinical Pipeline: Comprehensive trial monitoring and analysis
- Interactive Reports: Professional PDF/Excel report generation
- Chat Interface: Natural language query processing
Example queries the system can handle:
- "Which women's cancers show rising incidence but low drug development activity globally?"
- "What are the patent expiration opportunities in breast cancer therapeutics?"
- "Analyze the market potential for repurposing existing oncology drugs for gynecological cancers"
- Backend: FastAPI, PostgreSQL, LangGraph, OpenAI
- Frontend: React, TypeScript, Material-UI, Chart.js
- AI/ML: LangChain, OpenAI GPT-4, Google Vertex AI (Gemini), Custom Agents
- Infrastructure: Docker, Docker Compose
- APIs: ClinicalTrials.gov, USPTO, IQVIA (simulated), Google Vertex AI
This project is licensed under the MIT License
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PharmaShe - Empowering women's health through intelligent pharmaceutical research.