Owkin integrated its CE-marked MSIntuit CRC into Sectra's digital pathology platform.
MSI testing to find colorectal cancer patients eligible for immunotherapy consumes pathology resources. MSIntuit CRC now runs inside Sectra's platform so pre-screening fits existing workflows. The page states more than 96% sensitivity and that it rules out nearly half of patients from additional testing.
Owkin is a French AI company building biology models and the K Pro AI Scientist, working with pharma on drug positioning, trial design and pathology diagnostics.
This sits in the Ship stage of the AI use-case lifecycle: Named examples from the vendors pharma teams use to get an AI system live inside a real, regulated production workflow — validation, CRM, safety and clinical systems of record.
Published by Owkin on its own site — read the original case study on owkin.com ↗
Related use cases
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- 02Epkin used Owkin's K Pro to map prostaglandin biology and design the Phase 1 strategy for OKN4395.
- 03An oncology pharma used Owkin's K Pro and MOSAIC data to triage bispecific ADC candidates in silico.
- 04Owkin's K Pro Autopilot agent proposed a KRAS G12D drug combination that widened eligible patients from about 10% to 60%.
- 05Cleveland Clinic Abu Dhabi cut cohort assembly from days or weeks to seconds with Owkin's data transformation AI and K Pro.
- 06Owkin's MesoNet model predicts mesothelioma survival from pathology images and could shrink Phase 3 trial sizes.