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
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