Indica Labs announces collaboration with The Industrial Centre for Artificial Intelligence Research in Digital Diagnostics (iCAIRD)August 30, 2022
Indica Labs announces collaboration with The Industrial Centre for Artificial Intelligence Research in Digital Diagnostics (iCAIRD) for the development of an AI-based algorithm for the automated reporting of lymph node status in colon cancer
Indica Labs, an industry leader in quantitative digital pathology and image management solutions, and The Industrial Centre for Artificial Intelligence Research in Digital Diagnostics (iCAIRD), announced today an agreement to collaborate on the development of an AI-based digital pathology solution for the detection of cancer within lymph nodes from colorectal surgery cases. The primary aim of the innovative research project is to develop a tool which in the future may improve the efficiency of pathology teams within the National Health Service Greater Glasgow and Clyde (NHSGGC) reporting colorectal cancer cases and the detection of metastatic cancer in lymph nodes.
Funded by a combination of Innovate UK and industrial partners, and based in Scotland, and supported by the West of Scotland Innovation Hub, iCAIRD is one of the largest healthcare AI research portfolios in the UK. A collaboration of 30 partners from across the NHS, industry, academia and technology, the programme is currently delivering 35 ground-breaking AI projects across radiology and pathology, having grown from just 10 projects at the outset in 2019. The mission of iCAIRD is to establish a world-class centre of excellence for implementation of artificial intelligence in digital diagnostics.
Anonymised H&E slides from NHS Greater Glasgow and Clyde’s digital pathology archive will be used to train, validate and test the algorithm, which is being developed collaboratively by iCAIRD and Indica Labs. The resulting algorithm will report negative and positive lymph node status and will be compared to pathologist reports. Furthermore, positively involved lymph nodes will be categorized into metastases, micro-metastases, and individual tumor cells.
Indica Labs, based in Albuquerque, New Mexico, offers a suite of digital pathology image analysis solutions including HALO AI™, and HALO AP®; both of which will be utilized by Indica Labs and iCAIRD partners for the development of AI-based pathology solutions and their evaluation in an NHS digital pathology workflow.
HALO AI uses deep learning neural networks to classify and quantify clinically significant tissue patterns and cell populations. HALO AP is a CE-IVD certified software platform for digital anatomic pathology labs that can operate as a standalone case and image management system or can be fully integrated within
“The team at Indica Labs is excited to collaborate with iCAIRD on the development and deployment of a state-of-the-art AI tool that aims to improve diagnostic accuracy, turnaround times, and laboratory efficiency for the benefit of both pathologists and colorectal cancer patients,” commented Steven Hashagen, CEO Indica Labs.
About Indica Labs
Indica Labs is the world’s leading provider of computational pathology software and image analysis services. Our flagship HALO® and HALO AI™ platform facilitates quantitative evaluation of digital pathology images. HALO Link™ facilitates research-focused image management and collaboration while HALO AP® enables collaborative clinical case review. Through a combination of precision, performance, scalability, and usability our software solutions enable pharmaceutical companies, diagnostic labs, research organizations, and Indica’s own contract pharma services team to advance tissue-based research, clinical trials, and diagnostics.
iCAIRD aims to bring clinicians, health planners and industry together, facilitating collaboration between research-active clinicians and innovative SMEs to better inform clinical questions, and ultimately to solve healthcare challenges more quickly and efficiently using AI. iCAIRD is funded by Innovate UK, under the UK Research and Innovation (UKRI) Industrial Strategy Challenge Fund (ISCF) “From Data to Early Diagnosis in Precision Medicine” challenge. For more information, visit https://icaird.com/ or email firstname.lastname@example.org.
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