Integrating Bioinformatics & Data-Driven Approaches to Accelerate Donor Stratification & Enhance Selection Accuracy
9:30 am - Monday 7th December 2026
- Utilizing artificial intelligence and machine learning to analyze donor datasets and identify patterns that predict manufacturing success and therapy efficacy
- Building algorithms that force-rank donor variables and enable rapid decision-making when selecting between multiple candidate sources
- Establishing correlations between laboratory characterization results and clinical outcomes to validate predictive models and refine selection frameworks
