DeepXE: A Deep Learning Approach to Modeling & Designing Efficient CRISPR-CasX Guide RNAs for Therapeutics
- Showcase the first predictive model approach for the CasX-based genome editing platform, helping to unlock its therapeutic potential
- Demonstrate how combining high-throughput screening with deep learning accelerates the identification of potent and precise CRISPR edits across multiple targets
- Highlight the growing role of predictive modeling to advance next generation CRISPR-based therapeutics