Panel: How AI can accelerate R&D for cell and gene therapies

AI-driven tools are transforming how cell and gene therapy programs approach discovery, development, and clinical translation. By leveraging advanced algorithms, researchers can refine biomarker strategies, strengthen predictive validity, and streamline preclinical-to-clinical transitions. This panel explores practical applications and future directions for integrating AI into advanced therapy pipelines. 

Key takeaways: 

• Identify where AI supports biomarker discovery and validation in early R&D. 

• Assess how AI enhances predictive validity and translational fidelity in preclinical models. 

• Explore approaches to optimize dose selection and safety margins with AI-driven analytics. 

• Examine case examples where AI reduces cycle time and experimental burden in therapy development. 

• Consider regulatory and implementation challenges of AI adoption in clinical trial design.