Prediction of patient prognosis from digitized pathology slides in early Breast Cancer
Detecting tumour immune structures from H&E slides to guide immunotherapy selection
Identifying pancreatic adenocarcinoma molecular subtypes from histology slides
Predicting tumour gene expression directly from pathology images
Boosting trial power for hepatocellular carcinoma with AI prognosis
AI tissue segmentation to unlock interpretable image biomarkers
Predicting mesothelioma survival from pathology images
Smarter biomarkers for NSCLC immunotherapy response prediction
AI pre-screening to cut MSI testing workload
Ph1 trial of first-in-class drug through identification of new biology; better understanding MoA, biomarker ID and optimized indication selection.
OKN3201, potential first-in-class bispecific ADC for solid tumors.
A novel KRAS combination therapy for KRAS G12D-mutant PDAC patients.
Owkin transformed siloed, unstructured clinical data into a queryable patient registry.
Converse directly with histological data