Preparing for AI: Building Tools for -Omics Analysis and Biomarker Determination
Wednesday, May 29, 2024 02:15 PM - 03:15 PM
Room 217-219
Roundtable
Organized by: ISCT Early Stage Professionals Committee
Moderator
Understand the potential impact of AI tools on the future of drug discovery and development, biomarker discovery, and large-scale clinical -omics data sets.
Key Learning Objectives:
1. Understand the current opportunities for AI to aid in computational analyses, build predictive models for therapeutic development, and develop mechanistic models
2. Discuss the benefits and drawbacks using AI-based tools for CGT applications such as manufacturing
3. Discuss the impact of AI tools on the future of drug discovery and model development, biomarker discovery, and large-scale clinical -omics data sets
Moderator
- Rachel Burga, PhD, Obsidian Therapeutics, United States
- R. Chase Cockrell, PhD, University of Vermont, United States
- Shannon Eaker, PhD, Xcell Biosciences, United States
Understand the potential impact of AI tools on the future of drug discovery and development, biomarker discovery, and large-scale clinical -omics data sets.
Key Learning Objectives:
1. Understand the current opportunities for AI to aid in computational analyses, build predictive models for therapeutic development, and develop mechanistic models
2. Discuss the benefits and drawbacks using AI-based tools for CGT applications such as manufacturing
3. Discuss the impact of AI tools on the future of drug discovery and model development, biomarker discovery, and large-scale clinical -omics data sets
