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🧠 Large Language Models in Clinical Research

This repository contains materials for the PhD course on "Large Language Models in Clinical Applications" offered at the University of Padua.

📋 Course Overview

This course introduces PhD students to the rapidly evolving field of Large Language Models (LLMs) with a specific focus on clinical and biomedical applications. The materials cover both theoretical foundations and practical implementations, helping researchers understand how to effectively leverage these technologies in healthcare research.

📚 Content

  • 📊 Lecture slides: Comprehensive presentations covering LLM architecture, capabilities, and limitations
  • 💻 Practical sessions: Hands-on tutorials for implementing LLMs using both commercial APIs and local deployments
  • 🔧 Installation guides: Step-by-step instructions for setting up necessary software and environments
  • 📝 Code examples: Sample implementations for clinical text processing, data extraction, and analysis

🌐 Course Materials Online

Access the course materials online:

🔍 Technical Requirements

  • 📊 Basic familiarity with R programming
  • 💻 An installation of R and RStudio (see the installation guide)
  • 🤖 LM Studio for local LLM deployment (see the installation guide in LM_Studio_Installation_Guide.pdf)
  • 📈 Basic understanding of statistics and clinical research

👨‍🏫 Instructor

Luca Vedovelli
Department of Cardiac, Thoracic, Vascular Sciences and Public Health (DCTV)
Unit of Biostatistics, Epidemiology and Public Health
University of Padua, Italy

📄 License

The materials in this repository are provided for educational purposes. Please refer to the specific license information included with individual resources.

🙏 Acknowledgments

Special thanks to the University of Padua and the PhD program for supporting this course.

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