Advancing Genomic Medicine: Leveraging Large Language Models and Polygenic Risk Scores in Clinical Practice

Description: This presentation will explore the innovative use of large language models in clinical phenotype-driven gene prioritization. We will also discuss the development of AI-driven tools for diagnostic test selection for community pediatricians. Additionally, we will cover the barriers and lessons learned in returning genomic-informed risk to EHRs and communicating these findings to providers and patients.

Learning Objectives:
1. Understanding the application of advanced techniques such as large language models in clinical genetics.
2. Understanding the application of polygenic risk scores in clinical genetics.