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Drug discovery 2.0: integrating high-fidelity 3D cancer models at scale using RASTRUM

Drug discovery 2.0: integrating high-fidelity 3D cancer models at scale using RASTRUM



This on-demand webinar, originally presented at the October 2025 Drug Discovery News Virtual Symposium, "From bench to bedside: emerging approaches in cancer drug discovery," explores how high-fidelity 3D cancer models are transforming modern drug discovery workflows. Inventia Life Science Application Lead Sean Porazinski, Ph.D. demonstrates how RASTRUM™ enables scaled, reproducible tumor–stroma modeling, immune cell infiltration studies, high-throughput PDAC screening, patient-derived tumoroids, and complex multi-matrix systems that reveal treatment responses not visible in 2D or BME-based models.

The presentation highlights how researchers are using RASTRUM to create physiologically relevant cancer models that accelerate hit triage, improve translational confidence, and support precision medicine programs across oncology and immuno-oncology.

Key topics include:

  • Why traditional drug discovery models fail to predict clinical outcomes and how high-fidelity 3D systems address this gap

  • How RASTRUM™ drop-on-demand bioprinting enables precise, scalable, and reproducible 3D cancer models

  • Modeling complex tumor–stroma interactions using dual and triple matrix architectures for biologically meaningful phenotypes

  • Immune cell infiltration studies that reveal how T cells access and eliminate tumor cells in 3D environments not possible with BME systems

  • Development of high-throughput pancreatic cancer (PDAC) models for immuno-oncology screening in 96- and 384-well formats

  • Strategies for integrating patient-derived tumoroids to uncover patient-specific drug vulnerabilities and support precision medicine workflows

  • Case studies from leading research groups using RASTRUM in immuno-oncology, cancer dormancy, PDAC screening, and rare tumor modeling

  • How RASTRUM streamlines assay development, imaging, and downstream analysis for rapid, high-content oncology discovery

Drug discovery 2.0: integrating high-fidelity 3D cancer models at scale using RASTRUM
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