Learn how AstraZeneca Automates Image Analysis with Deep Learning

Imaging assays used in drug discovery and development have grown in complexity. Artificial intelligence-based image analysis methods have the potential to deliver high-quality results in an automated, unbiased way and yield biological insights not accessible by traditional techniques. Discover how AstraZeneca uses Genedata Screener with the integrated AI-driven Imagence® workflow to automate image processing, streamline analysis, and ensure robust, reproducible results across disease areas and R&D stages.

Why Watch

• Learn how automated workflows for training and deploying neural networks allow broad and scalable application of deep learning for image analysis-without the need for machine learning expertise
• See how deep learning-based approaches can increase mechanistic insight and assay sensitivity, in a case study about cardiac safety profiling
• Learn how to support data-intensive deep learning workflows, across multiple instruments and research sites, using a hybrid AWS cloud/on-premise platform