OWKIN MSI Gastric Cancer

OWKIN MSI Gastric Cancer image

Home » Data use register » OWKIN MSI Gastric Cancer

Data Use Register - full project summary

Safe People

Lead applicant organisation
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.
Latest Approval Date
16/08/2024

Safe Data

Dataset(s) name
SDE067

Safe Setting

Access type
West Midlands SDE trusted research environment

Safe Outputs

Link
Not yet published.
post on X/twitterShare on X

Print this page
Email this page