OWKIN
SOFTWARE STACK

Owkin Software Stack 1

OWKIN STUDIO

DEMOCRATIZE MACHINE LEARNING FOR RESEARCHERS

Owkin Studio is a software platform designed to bring the power of AI to medical researchers. It allows them to run AI experiments on their data. The user structures a research project, trains a machine learning model, and interprets the results. Researchers can take it one step further by collaborating with the Owkin Lab data scientists to design more advanced experiments or train additional algorithms.

Owkin Studio’s intuitive user interface is engineered to allow for non machine learning experts to perform AI research projects. Unlike traditional black-box AI, models developed through Owkin Studio are interpretable, allowing the identification of features in the data responsible for the predictions and enabling researchers to investigate their biological meaning. Owkin Studio gives researchers the tools to discover new biomarkers that could revolutionize patient outcomes. 

Owkin Studio provides an increasing number of modules to perfectly fit medical researchers’ workflows and needs: cohort management, annotation, machine learning project management, and result interpretation.

Discover Owkin Studio Owkin Lab
Owkin Software Stack 2

OWKIN CONNECT

CONNECT TO THE WORLD’S FIRST FEDERATED PRIVACY-PROTECTING VIRTUAL LAB

Owkin Connect is the framework for operating Federated Learning across Owkin Loop. It allows data scientists to train AI models on decentralized data, thereby solving the data sharing challenge in healthcare. 

The data remains secure and private, on site behind the medical center’s firewall. Each center becomes a node in the network connected to the others.

Owkin Connect empowers data owners to define their data authorizations and track their data usage: meaning an unforgeable ledger tracks what data is used by which model for training and how that data contributes to the parameters of the model. This is dually beneficial as this Federated Learning framework complies with GDPR and other data privacy regulations, while promoting data quality within each node. 

Federated Learning Owkin Loop