Spatial omics
The people at the heart of AI in healthcare
AI biomarker discovery
AI target discovery
AI drug positioning
Optimize MSI testing through a pre-screen approach
Assess the risk of relapse of early breast cancer
Determine the presence of TLS across tumor types
We work with partners to apply AI to rich, multimodal data
The most proven federated learning software designed for healthcare research
Multimodal approach to biomarker identification
Using AI to match a drug/failed asset with new indication(s) or subpopulation of existing indication
Applying AI to multimodal data to identify the best candidate targets in a given indication
We select data-driven prognostic covariates for adjustment to broaden the eligibility criteria without sacrificing power of randomized control trials
Building external control arms from high-quality patient data
Derisk and accelerate your clinical trials
AI-powered diagnostics from digital pathology
Join our AI moonshot to accelerate open science
MSD & Owkin to co-develop and commercialize AI Diagnostics
The first CE-marked AI diagnostic for MSI testing for colorectal cancer with digital H&E slides
An AI diagnostic to help pathologists and oncologists assess the risk of relapse of early breast cancer patients
A pre-screening tool to determine the status of TLS in a research setting
The world’s largest spatial multiomics dataset in oncology
We are making a 100-patient pseudonymized sample of the MOSAIC dataset available for research
Fuel new breakthroughs in oncology with spatial omics
Applying AI to patient data to advance precision medicine
Get closer to our science
