Webinar
Optimizing multi-cellular models for high-throughput screening

About this webinar

While higher throughput 2D in vitro assays have become more widely adopted in pharma and academia, their ability to predict clinical outcomes in human patients remains limited. Multicellular models offer huge potential in early drug discovery by providing a more physiologically relevant environment that leads to improved success rates further down the development pipeline.

However, increased model complexity comes with trade-offs. They require more exhaustive validation and are often less reproducible, impeding the throughput and scalability imperative for screening hundreds of compounds in parallel during initial discovery phases.

Powerful advances in software and hardware automation hold promise to overcome this barrier by enabling systematic experimentation to screen culture parameters and accelerate assay optimization.

Join us as we dive into recent research which has combined Design of Experiments methodology with automated liquid handling to develop a cardiotoxicity assay platform. We discuss how this approach could become routine in the future, not only offering more accurate predictability of new drug candidates, but also enabling researchers to leverage resources more efficiently through streamlined workflows and data-driven decision-making.

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