This repository contains materials for the PhD course on "Large Language Models in Clinical Applications" offered at the University of Padua.
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.
- 📊 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
Access the course materials online:
- Course Slides: English | Italian
- Short Seminar (20 min): LLM in Medicine
- Practical Session
- Course Homepage
- 📊 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
Luca Vedovelli
Department of Cardiac, Thoracic, Vascular Sciences and Public Health (DCTV)
Unit of Biostatistics, Epidemiology and Public Health
University of Padua, Italy
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0).
You are free to share and adapt this material for non-commercial purposes, as long as you give appropriate credit.
Special thanks to the University of Padua and the PhD program for supporting this course.