Data as the foundation for AI driven target identification
17 Sep 2025
Target Identification
- What types of datasets (e.g. multi-omics, functional genomics screens, real world data) are most critical for AI driven target discovery, and how do you employ them?
- How do we address the challenges of data quality, bias, and harmonization across different sources and institutions? Discuss challenges and opportunities for public vs. proprietary datasets.
- What types of AI models have the best promise for target identification?
- Future directions and wish-list for AI driven Target ID
Industry Expert
