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 image analysis techniques.
Discover how AstraZeneca uses Genedata IMAGENCE® - an enterprise-scale, deep learning-based software solution for image analysis - for projects spanning different disease areas and stages of R&D.
- 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