Selecting the Right Predictive & Reproducible Tumor Models to Better Dissect Mechanisms of Action, Facilitate Biomarker Discovery to Empower Patient Selection & Bridge the Preclinical-to-Clinical Disconnect
Following the first‑ever IND approval supported by organoid‑only efficacy data from SillaJen and the FDA’s recent draft guidance on New Approach Methodologies (NAMs), industry momentum toward moving beyond traditional animal models is accelerating. Advances in model‑engineering are rapidly enabling more humanized, patient‑relevant systems that help drug developers interrogate new modalities and targets with greater precision.
Yet a core challenge remains: ensuring these models truly translate to the clinic. With innovative candidates entering first‑in‑human trials at a faster pace, and too many still failing due to sub‑optimal model selection, the urgency to de‑risk early and strengthen predictive confidence has never been greater.
Attending Companies Include