Data

Join our Federated Research Network

Owkin maximizes the value of your data and makes it actionable for AI
Our growing patient data and KOL network
Join our network
Our growing patient data and KOL network
13
countries

with 50% of the world's top 20 medical institutions

11
modalities

Clinical data, single-cell and spatial omics, and histology

63
data partners

Working with top academic centers to access AI-ready patient data

Deep
multi-omic data

Unparalleled depth of data from hard-to-find cohorts

Our approach to data

Owkin works with top academic centers to curate, enrich, and generate deep, multimodal data that is AI-ready

Multimodal patient data
Multimodal patient data and samples

Research-grade patient data and samples including rich modalities like spatial omics for a full heterogeneous view of the disease and potentially increased generalizability of the research results.

Access to up-to-date data
Continuous access to the most up-to-date data

Privacy-enhanced federated access to 8 of top 20 oncology and general hospitals in US and Europe with the latest Standard of Care (SoC) and longitudinal data.

Research-grade patient data curated by PIs
Research-grade patient data curated with PIs

Complete AI-ready datasets enabled and contextualized through close relationships with PIs including 118 KOLs with a mean H-index of 50.

Challenges

Barriers to develop and validate AI across datasets

Data silos
Silos

Data is distributed across several institutions, sites, and infrastructures with competing incentives

data privacy compliance
Ownership/privacy

Healthcare data is private and/or proprietary

data security compliance
Compliance

GDPR, HIPAA, EU AI Act, and country specific regulations

Care vs AI

Data is collected for patient care, not for use in machine learning research

data interoperability
Interoperability

Different systems have different labels and structures

heterogeneous data
Incomplete

Heterogeneous, missing data, lacks medical context

multimodal data
Different modalities

Integrating multimodal data from different sources

spatial omics data
Ever-evolving

Accessing data that reflects the latest SoC and new modalities like spatial omics that offer new research opportunities

Owkin’s solutions

Data services for Owkin sponsored projects

Owkin helps academic partners to upgrade their data to accelerate their AI research in real world healthcare settings. Our data services:

Data preparation and curation
Data preparation and curation

Make your existing data AI-ready and interoperable (enriched, harmonized, FAIRified)

Data generation icon
Data generation

We help you generate and analyze new data in cutting-edge modalities

Healthcare partnership research case studies

Accelerating research

We combine privacy-enhancing technologies, like secure data aggregation and federated learning, with critical clinical expertise and a network of academic researchers.

Federated learning software breaks medical data silos and accelerates innovation in real-world healthcare settings.

Federated learning

Connect disjointed data to build accurate models without pooling data

Unlocking access

Federated learning powers precision medicine by unlocking access to the right quality and quantity of data to train high-performance models

Data stays local

With federated learning the data stays local - only models and insights travel between the servers, enhancing privacy and ensuring compliance

More accurate models

This technology allows research communities to benefit from access to more datasets; training on heterogenous data to generate more robust and accurate models

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“In terms of security, Owkin provided the methodology, as well as the external audits which, for us, are a guarantee of security. Owkin's philosophy of excellence and speed is closely aligned to that of cancer centers - there's a great cultural fit. Today, if we wanted to apply AI to our data, I wouldn't think twice - I'd call Owkin.”
Thierry Durand
Head of IT Systems at Centre Léon Bérard