Watch the on-demand presentation from Emerging Therapeutic Strategies in Oncology hosted by The Scientist.

Traditional preclinical models often fall short when it comes to predicting how cancer therapies will perform in humans.

In this session, Sean Porazinski Ph.D., Head of Scientific Programs at Inventia Life Science, discusses how scalable 3D tumor models can bridge this gap by combining biological relevance with high-throughput workflows.

Using the RASTRUM™ platform, this session highlights how researchers can generate reproducible, matrix-embedded tumor models that incorporate key features of the tumor microenvironment and support both imaging and molecular analysis.

What you'll learn:

• Limitations of traditional 2D and in vivo preclinical models
• How 3D tumor models improve predictive power
• The role of microenvironmental complexity in drug response
• How scalable 3D workflows enable high-throughput screening
• Applications in tumor-immune interactions and personalized medicine
  
  

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