Paige turns to Igneous for managing tissue images
January 23, 2019
New York start-up Paige, which focuses on clinical diagnosis and treatment in pathology and oncology through the use of artificial intelligence (AI), has selected the Igneous unstructured data management-as-a-service to protect and manage enormous datasets of anonymised tissue images.
These images are at the heart of Paige’s mission to develop AI algorithms for diagnosing and treating various forms of cancer. Through its partnership with Seattle-based Igneous, Paige will be able to manage securely and efficiently 8Pbyte of unstructured data, including anonymised tumour scan images and clinical notes, as part of an integrated machine learning-based healthcare AI workflow anchored by a Pure Storage FlashBlade and Nvidia GPU compute cluster.
Igneous provides the intelligent system of record for programmatically protecting Paige’s research-critical datasets used to train algorithms that assist in understanding, diagnosing and treating cancer. In addition, Igneous helps Paige’s data scientists process, index and move datasets as required for iterative model training and feature refinement. Igneous also serves as the long-term protection and retention tier for both the training datasets and results data post-processing.
“Enabling researchers and scientists to directly access and use their data, and to collaborate with each other without going through an overburdened IT team – that’s the future of unstructured data management,” said Kiran Bhageshpur, CEO of Igneous. “The cutting-edge research and product development that Paige is doing necessitates cutting-edge data management and protection, and we are proud to support them in revolutionising how to diagnose, treat and prevent disease.”
Paige selected Igneous for its API-based object and file support with Pure FlashBlade, the ability to keep data at scale securely onsite in its native file format, as well as the Igneous managed as-a-service model. The ability to use any file or object protocol provides flexibility to experiment with analysis technologies and to move quickly as a start-up.
“We selected Igneous because of its unique ability to organise and protect billions of images and its tight, API-based integration to our Pure Storage and Nvidia compute cluster used to build our machine learning models,” said Ran Godrich, AI research engineer at Paige. “Paige’s mission is to revolutionise pathology through AI in order to fundamentally improve the efficacy and efficiency of clinical pathology diagnosis, while improving the care of patients around the world. Igneous engineers and experts are helping us realise our mission by developing our data infrastructure in the most secure way possible, not only in storage, but also the data management systems themselves. Their unwavering commitment to our success and the protection of our datasets is absolutely key to building a high-performance compute infrastructure.”