Fireside Chat: Improving Predictability of CNS Targeting and Distribution Using Machine Learning & AI
Time: 1:30 pm
day: Day Two - Afternoon - Track B
Details:
- Approaches for developing predictive models (PBPK, compartmental, mechanistic) tailored to enhance CNS delivery
- The role of AI and machine learning in refining model accuracy and extrapolating from limited datasets
- How predictive modelling supports early design decisions, reduces reliance on animal studies, and informs regulatory strategies
