Join an interactive session where the audience is divided into small groups to explore key challenges in 3D tissue modeling. After the discussions, each group will share insights with the room so everyone can learn from their peers.

• Defining statistical validation requirements including sample sizes and confidence intervals to ensure robust physiological relevance claims
• Standardizing experimental protocols and quality control measures to minimize variability and meet regulatory expectations for model qualification
• Applying data science tools and predictive modeling to guide scalable development decisions and translate complex datasets into actionable insights