AWS Public Sector Blog
Author: Samuel Barnett
Sam Barnett is an applied machine learning (ML) engineer with Genomics England. He works on improving healthcare with ML and is embedded with the Multimodal squad as part of an ongoing effort to show the value of combining genomic, imaging, and text-based data in ML models.
AWS helps Genomics England’s Multimodal programme accelerate research with whole slide images
Pathologists have been looking at morphological patterns in patients’ tissue sections highlighted by hematoxylin and eosin (H&E) staining for more than a century. However, as the pathology transformation from glass slides to digital imaging gains momentum, it opens the door to artificial intelligence (AI) tools to complement expert assessment with quantitative measurements to enable data-driven medicine. Yet, challenges remain with handling digital imaging files such as storage and pre-processing prior to application of AI tools. Genomics England have utilised Amazon Web Services (AWS) and tools such as Amazon SageMaker to demonstrate how to prepare digital pathology images for research and the development of machine learning models.