LLM Powered Clinical Trial Matcher

The recruitment of patients for clinical trials presents significant challenges for pharmaceutical companies, often delaying drug development, increasing cost, and leaded to study failure. This lab explores how AI applied to anonymized health records enables efficient trial matching—at single, bulk, and multi-trial levels—reducing time, improving accuracy, and enhancing access for researchers, providers, and patients.

This lab will walk through the following scenarios:

• Single Trial Matching via Upload
• Multiple Trial Matching for Single Company
• Trial Overlap Analysis

• Windows 11 Jumpbox
• Ubuntu Server
• LLM access via ATC LLM as a Service