Formation Bio

Maximizing LLM Potential: How Data Structure and Context Drive Quality Insights

Large Language Models (LLMs) promise to revolutionize clinical data analysis but struggle with messy, imperfect datasets common in drug development research. This presentation demonstrates how the inclusion of comprehensive context dramatically …

Code that Cures: Validating GxP-Compliant R Shiny Apps for Clinical Decisions

GxP-relevant R Shiny application validation ensures compliance and data integrity in regulated industries. This complex process relies on three key pillars people, technology, and processes. A cross-functional team is crucial, comprising an R …

Data Osmosis: Rapid Absorption of Dataset Knowledge through GPT-Enhanced Documentation

This talk addresses the challenges in effectively leveraging the full capabilities of Large Language Models (LLMs) for data extraction creating effective knowledge corpora and learning workflow options. We'll explore strategies for handling diverse …