Accelerate Oncology Drug Discovery with Patient-Derived Xenograft (PDX) Models – Customer Experience (CX), Employee Experience Industry Insights

Leverage AI-powered, 2D/3D, in vivo, and in silico PDX solutions to generate clinically relevant efficacy data—faster and with greater confidence.

Patient-Derived Xenograft (PDX) models represent the most clinically relevant preclinical platform in oncology drug development, preserving tumor heterogeneity, molecular signatures, and patient-specific biology. By integrating PDX with advanced 2D and 3D in vitro assays, in vivo efficacy testing, humanized immune models, and AI-driven in silico approaches, researchers can significantly improve the prediction of clinical outcomes

Innovations such as Single Mouse Trials (SMT), PDX-derived tumoroids, orthotopic implantation with optical imaging, and Virtual Control Groups (VCG) enhance efficiency while supporting ethical research through reduced animal usage. The addition of humanized PDX models enables robust evaluation of immunotherapies and cell-based treatments, including CAR-T therapies.

AI & Advanced Analytics

Image analysis and computer vision for cell behavior tracking
Multi-omics integration and deep learning
Predictive modeling for translational decision-making

Key Benefits

Faster go/no-go decisions
Improved clinical translatability
Reduced animal usage (3Rs aligned)
End-to-end oncology discovery support

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