Consortia
Collaborative medical research starts here
Secure and efficient consortia with Owkin
Data is never shared between partners, only the encrypted model weights travel between the data centers.
Working with Owkin in your consortium will give you access to our cutting-edge federated learning technology and to our highly curated medical data and research networks.
Building the world’s largest spatial multiomics dataset in oncology
MOSAIC is a landmark research project to create a multimodal dataset with spatial transcriptomes from 7,000 patients in 7 cancer types. This is the largest spatial omics atlas to date.
The MOSAIC dataset will be 100x larger than existing efforts and will use cutting-edge spatial omics technologies to map cancer cells and their immune environment in high resolution, enabling AI to unlock potential for new breakthrough treatments.
Active consortia
Setting up the first European ethical and regulatory compliant community-based platform bringing together an unprecedented amount of quality-controlled annotated pathology images and AI algorithms.
Improving the diagnosis and patient management of systemic autoinflammatory diseases.
Generating molecular and cellular profiling data of the tumor and its microenvironment. Owkin is supporting genomic data analysis and prediction of treatment response using multimodal models.
Designing and developing the first interoperable and GDPR-compliant European real-world oncology data and evidence generation platform. Owkin is providing technical and infrastructure expertise, implementing an AI knowledge base and deploying and operating federated nodes.
Aims to foster innovation and deployment of digital technologies in cancer treatment and care. Owkin is providing technical expertise on federated approaches and developing the criteria and tools for assessing data quality, harmonization processes, de-identification and FAIRification.
Developing and validating the first integrative diagnostic digital platform for atrial cardiomyopathy diagnosis. Owkin is working on identifying the biomarker of the atrial fibrillation substrate.
Integrating the use of voice as a biomarker of health in clinical care by generating a database to fuel voice AI research and build predictive models to assist in screening, diagnosis, and treatment of a broad range of diseases.
Creating a sarcoma immune atlas exploring the sarcome environment. Owkin is developing an AI model to allow deployment of immunotherapy.
Completed consortia
Leverage federated learning to train machine learning models on histology slides and dermoscopy images to predict treatment response in breast cancer and melanoma patients.
Connect 10 pharma partners leveraging the world’s largest collection of small molecules with known biochemical or cellular activities for federated drug discovery.
FL for consortia
Federated learning for consortia allows your collaborative research project to:
Remove compliance hurdles and facilitate the onboarding of new partners.
Keep your data behind your firewalls and avoid complex data sharing infrastructures and agreements.
Smart control of permissions of data and models for each partner or subcontractor, with traceability features to monitor usage and build trust.
Free up resources from data pooling and management work packages to focus on what really matters: your scientific question.
The most proven federated learning software designed for healthcare research
Our federated learning software Substra is the ideal tool to learn from distributed datasets among consortium partners. It is already involved in many collaborative research projects centered around medical research.
The European Commission recently released the Horizon Europe work programs for 2023! At Owkin, we are particularly interested in the calls of the Health Cluster, but we would love to support any project fostering a collaborative approach to data, using federated learning.
Working with Owkin to adapt to your consortium needs
Working with Owkin in your consortium will give you access to our cutting edge federated learning technology and to our highly curated medical data and research networks.
We bring our expertise in deploying and maintaining our open-source federated learning framework for your consortium members. We also provide proprietary federated strategies and privacy enhancing technology. We can work within one or more packages as a subcontractor to one of the grant beneficiaries.
Work with us as a research partner from the writing of the grant proposal to setting up the infrastructure. We will collaborate in addressing the major medical or technological challenges tackled by the consortium. We will bring experience in building successful applications and consortia as well as our large network of partners.