Advancing 3D Organoid Workflows with Machine Learning

Organoids and other 3D cell models are commonly used in drug research because they are considered more realistic and, therefore, more predictive.

Cultivating these models, however, can be time-consuming, challenging, and labor-intensive, requiring specialized knowledge. This raises challenges for deploying these models at scale.

In this webinar, Oksana Sirenko shows how the new CellXpress.ai Automated Cell Culture System, paired with machine learning, can help researchers overcome these hurdles and scale up the culture of repeatable organoids.

Watch the Full Webinar