This white paper explores how integrated preclinical platforms—including orthotopic PDX models, humanized systems, and AI-driven predictive analytics—can bridge the gap between preclinical research and clinical success in glioblastoma.
Learn how to select appropriate preclinical models for clinical relevance; apply AI-driven insights to predict outcomes and identify effective treatment strategies; and integrate multimodal endpoints to improve preclinical predictability.
