Private data stays private
Making data accessible
No need to move data
Why Apheris
Research-grade data
Federated learning
Privacy-enhancing technologies
Governance & auditability
What customers are saying about Apheris
"Our long-term strategy heavily focusses on collaboration with our partners along the health data value chain. We are an innovator across major disease areas, and are convinced that federated approaches will enable the most advanced data ecosystems of the next decade."
Collaborative Data Ecosystems in Healthcare
Potential shared value propositions in healthcare:
- Expand data applications across therapeutic areas
- Accelerate drug discovery processes
- Enable precision medicine
- Build marketplaces based on federated health data
Resources
What Are Collaborative Data Ecosystems?
Enterprises across industries are realizing that collaboration on data, machine learning and data science is the key to solving the biggest challenges of our time. This leads to a massive rise of collaborative data ecosystems around the globe. Read more if you want to know what collaborative data ecosystems are
Federated Learning on Vertically Distributed Healthcare Data
Joining complementary data sets creates stronger machine learning capabilities. But valuable data containing intellectual property cannot be shared and must adhere to regulatory frameworks. Healthcare companies can use federated learning to work with decentralized data, allowing secure collaboration without sharing data.
Privacy-preserving Data Ecosystems in Support of Drug Discovery
In recent years, Deep Learning has gained considerable traction in many fields, but none more so than in the realm of drug discovery. Applications range from generating de novo hit-like molecules, predicting drug-disease associations and activity, toxicology estimation, to the analysis of medical images.