Major Overhaul: Enhance TrialGPT

[mikeS141618]

TrialGPT: Major Update for Clinical Trial Matching

Key Changes:

1. Refined core components:

   • Hybrid fusion retrieval
   • Keyword generation
   • Patient-trial matching
   • Score aggregation

2. AI/NLP enhancements:

   • Compatibility with GPT and Llama models
   • Multi-model AI integration
   • Improved prompt engineering

3. System optimizations:

   • Custom device mapping for LLMs
   • Increased token efficiency
   • Better handling of medical terminology

4. New features:

   • Progress tracking
   • Error logging
   • Flexible model selection
   • Advanced ranking algorithms

5. Architecture improvements:

   • Modular codebase
   • Enhanced documentation
   • New utility functions

Technical notes:

• Improved error handling
• Enhanced UI and output formatting

Testing:

• Validated against clinical trial database

Impact:

• Demonstrates AI potential in healthcare

Next steps:

• Monitor production performance
• Gather user feedback
• Consider expansion to other medical research areas

Solves issues #6 && #1