Explainers

DrugMatch is Owkin's AI drug positioning engine - designed to help us uncover how existing drugs could benefit new patient populations

TargetMATCH uses multimodal patient data to identify new drug targets and patient subgroups that would benefit from those treatments.

Owkin Unveils AI-Driven Oncology and Immunology Pipeline, In-Licenses Best-in-Class Asset OKN4395.

Substra: an open source federated learning software developed by Owkin

Understand how MSIntuit® CRC pre-screens for Microsatellite Instability directly from digitized H&E slides. 

Discover the science behind our AI diagnostic tool.

The A to Z of AI in Healthcare | Introduction

Understanding Owkin

Increasing the security of federated learning.

Integrating MSIntuit® CRC into pathology workflow

Professor Fabrice André on RlapsRisk® BC

Owkin's early career collaborators | Dr Charlotte Spencer

MOSAIC is the world’s largest spatial multiomics dataset in oncology.

Owkin combines cutting-edge machine learning and biology to advance drug discovery.

Introducing "Humanity": the people at the heart of AI-augmented healthcare

Prof Miriam Merad on the impact of building MOSAIC, the world’s largest spatial omics atlas in cancer.

Data-driven prognostic covariates for adjustment to improve statistical power and broaden the eligibility criteria of randomized control trials.

What is spatial omics and how it works, with Margaret Hoang, Associate Director of Research at NanoString.

An open source federated learning software developed by Owkin for healthcare research.

Meet FLamby – the world’s largest open-source federated learning-ready datasets designed to bridge the gap between federated learning theory and practice, while tackling multiple healthcare data modalities.

A solution to help normalize real-world data distributed across multiple data centers in a federated manner, without compromising data privacy or security.

Artificial intelligence may soon help doctors diagnose and treat diseases, including cancer and depression, based on the sound of a patient’s voice.

A research project to develop new biomarkers to improve the targeting of antiangiogenic drugs.

How federated learning can overcome data governance and privacy challenges to decrease the cost and increase the speed of clinical research

How does Owkin's external control arms increase the probability of success of clinical trials?

We select data-driven prognostic covariates for adjustment to improve statistical power without sacrificing power of randomized control trials.

At Owkin we develop deep learning models to leverage crucial information captured in pathology images.

How does Owkin identify biomarkers from multimodal data?