CryptoPolyTech.com
Crypto, Politics, Tech, Gaming & World News.

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

Our #TECH_Newser covers ‘news of the day’ #techNewserTechnology content.

| cutline • press clip • news of the day |

Cryptopolytech Public Press Pass
Title: 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

Originally reported on www.prnewswire.com by PRNewswire

20000756 – TECH NEWSer | 20001298 – Artificial Intelligence AI | •| Tech |•| Newser |•| Technology | •| Artificial |•| Intelligence |•| AI |

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.

ALBUQUERQUE, N.M., and GLASGOW, Scotland, Aug. 30, 2022 /PRNewswire/ — 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 program 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 center of excellence for implementation of artificial intelligence in digital diagnostics.

Anonymized 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.

Dr. Gareth Bryson, Consultant Pathologist at NHSGGC and Clinical Director for Laboratory Medicine of iCAIRD commented on the potential value this tool will bring to the NHS: “Our belief is that AI powered decision support tools, such as the one we are working on, may help to support pathologists by improving the process’ efficiency, while simultaneously increasing sensitivity in detecting small metastasis – which will direct patient therapy. Colorectal cancer resections are one of the most common cancer resection specimens and a disproportionate amount of pathologist’s time is utilized in screening lymph nodes.”

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 LIS or HIS solutions. HALO AP supports a full range of tissue-based workflows, including AI-assisted assays, quantitative analytics, synoptic reporting, tumor boards, and secondary consults. In addition to HALO AI and HALO AP, Indica Labs recently received a CE-IVD mark for HALO Prostate AI, a deep learning-based screening tool designed to assist pathologists in identifying and grading prostate cancer in core needle biopsies that is deployed using HALO AP.

“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.

HALO AP will be evaluated within simulated digital workflows at the pathology department in NHS GGC, using iCAIRD’s research environment to demonstrate interoperability with clinical systems. HALO AP will be used as a platform to deliver the new colorectal cancer algorithm. Through this collaboration, diagnostic accuracy and efficiency will be compared between existing fully digital workflows and one that applies AI through HALO AP.

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.

About iCAIRD

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 or email [email protected].

Media Contact:

Kate Lillard Tunstall
Indica Labs, Inc
[email protected] 

SOURCE Indica Labs


‘News of the Day’ content, as reported by public domain newswires.

Find more, like the above, right here on Cryptopolytech.com by following our extensive quiclick links appearing on images or within categories [NEWSer CHEWSer].

Source Information (if available)

It appears the above article may have originally appeared on www.prnewswire.com and has been shared elsewhere on the internet, repeatedly. News articles have become eerily similar to manufacturer descriptions.

We will happily entertain any content removal requests, simply reach out to us. In the interim, please perform due diligence and place any content you deem “privileged” behind a subscription and/or paywall.

We compile ‘news of the day’ content in an unbiased manner and contextually classify it to promote the growth of knowledge by sharing it just like 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

First to share? If share image does not populate, please close the share box & re-open or reload page to load the image, Thanks!

Related Posts
You might also like