OWKIN MSI Gastric Cancer

OWKIN MSI Gastric Cancer image

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Data Use Register - full project summary

Safe People

Legal Name of Contracting Organisation (Trading Name)
Owkin

Safe Projects

Project Title
OWKIN MSI Gastric Cancer
Lay summary
The objective of this project is for Owkin to test a machine learning algorithm that predicts MSI status from H&E images in patients with gastric cancer. Ultimately, this tool will aid in pre-screening microsatellite instability status in gastric cancer.
Public benefit statement
Owkin has developed the MSIntuit v2 pre-screening solution to assist pathologists in identifying microsatellite instability (MSI) tumours in patients with Gastric cancer. This innovative tool, powered by a deep learning algorithm, classifies patients based on routine haematoxylin and eosin (HE)-stained histology slides, representing a new category of AI-driven diagnostic technology within the emerging digital pathology ecosystem.

As part of its development, Owkin seeks to evaluate the performance of MSIntuit v2 on an external cohort of patients managed by the pathology laboratory at University Hospitals Birmingham (UHB). By leveraging real-world clinical data, this study aims to validate and enhance the tool’s accuracy, supporting the advancement of digital pathology and AI in cancer diagnostics. Ultimately, this project has the potential to improve early detection and treatment decision-making for Gastric cancer, benefiting both patients and healthcare providers.
Date of signed agreement
16/08/2024
Project status
Completed

Safe Data

Project Identifier (Dataset name)
SDE067
Health Research Classification System (HRCS) Category
Cancer and neoplasms

Safe Setting

Access type
West Midlands SDE trusted research environment
Multiple-SDE Project
No

Safe Outputs

Link
Not yet published.
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