Fireside Chat: Optimizing Model Selection for Speed, Cost & Translatability to De-Risk Preclinical Development Under Resource Constraints
- Navigating budget limitations and tight timelines while selecting models with strong translational potential to accelerate preclinical development without compromising predictive accuracy
- Prioritizing model complexity versus practical feasibility across organoids, PDX, and in silico platforms to maximize ROI and clinical relevance within resource-constrained environments
- Implementing tiered model selection strategies that balance throughput, cost effectiveness, and biological fidelity to de-risk candidates faster while maintaining translational confidence