Cleveland Clinic Abu Dhabi cut cohort assembly from days or weeks to seconds with Owkin's data transformation AI and K Pro.
Siloed, unstructured clinical data made assembling research cohorts for tumor board take days or weeks. Owkin integrated EHR data, notes and 994 pathology PDFs into a registry, added Pathology Explorer and a natural language K Pro interface in a closed Azure environment with in-region models. The page reports 1,700 prostate cancer patients integrated, 317+ variables extracted per patient and queries in seconds.
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 Data Providers stage of the AI use-case lifecycle: Named examples from the real-world-data, claims and competitive-intelligence providers pharma AI systems are trained on, benchmarked against, or run inside of.
Published by Owkin on its own site — read the original case study on owkin.com ↗
Related use cases
- 01Boehringer Ingelheim used Owkin's K Pro multi-omic reports to prioritize targets and find spatially informed patient-selection biomarkers.
- 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%.
- 05Owkin's MesoNet model predicts mesothelioma survival from pathology images and could shrink Phase 3 trial sizes.
- 06Compugen added Owkin's K Pro alongside its in-house target discovery AI platform.