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Apheris for Pharma

Collaborate with partners on data and AI. Innovate and evolve the practice of life sciences​.

Trusted by our customers & partners

What customers are saying about Apheris

«Apheris' technology empowered granular access to European Union data for our real-world evidence study exploring treatment and outcomes in oncology. The potential to impact the understanding, creation, and adoption of therapies that cater for more diverse populations is remarkable.»

Kevin Pollock Ph.D., MPH
Director RWE Strategy, International Markets at Bristol Myers Squibb

Billions are spent on licensing limited datasets – ​still 97% of all healthcare data remains inaccessible

The Apheris Compute Gateway enables access to the world’s best data for compliant, private and secure research

Powering the AISB Consortium to Revolutionize AI Drug Discovery

Apheris provides the tech layer for the Artificial Intelligence Structural Biology (AISB) Consortium, an unprecedented collaboration among AbbVie, Boehringer Ingelheim, Johnson & Johnson and Sanofi aimed at transforming AI drug discovery. State-of-the-art AI models will be trained and evaluated on unique data from multiple biopharma companies without exposing proprietary information.

3 modes of collaboration for pharmaceutical companies

Build your own site network

Build a federated data network with your existing site relationships. Execute any new study at accelerated pace.

Partner with other Pharma

Partner with your peers in a consortium – gain valuable research insights while protecting your data IP.

Get deeper access to healthcare software & data vendors​

Enable trusted users to view metadata of your datasets. Upload synthetic discovery data helping your users to understand structure and value without compromising on privacy.

Support use cases across the whole Pharma value chain

Compliance is a top priority for us

Guide

E-book - Federated Data Ecosystems in Pharma & Healthcare

Breakthroughs in healthcare are faster and more reliable with federated data ecosystems. By processing patient data without risking its integrity, data collaboration is safer and more effective than data sharing.
This e-book highlights real-world examples and explains how to implement a federated data ecosystem in pharma and healthcare:

checkmark Benefits of federated data ecosystems in pharma and healthcare
checkmark Examples in drug discovery, clinical trials and commercial growth
checkmark How data collaboration compares with data sharing
checkmark How to get started with federated data ecosystems
White Paper

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.

In this white paper, you will learn:

checkmark How you can preserve intellectual property while generating value from sensitive data
checkmark Deep dive into federated and secure QSAR models
checkmark How Apheris prevents uncontrolled data sharing
checkmark How you can pave the way to precision medicine with federated and secure QSAR model training
Article

How privacy-enhancing technologies can help you achieving data privacy in enterprise ML/AI

Discover the power of Privacy Enhancing Technologies (PETs) and why they're crucial for your enteprise ML/AI projects involving sensitive or regulated data. We'll demystify PETs with clear examples, equipping you with the knowledge to make informed decisions on how to best protect your data and enhance your products.
Guide

E-book - Federated Data Ecosystems in Pharma & Healthcare

Breakthroughs in healthcare are faster and more reliable with federated data ecosystems. By processing patient data without risking its integrity, data collaboration is safer and more effective than data sharing.
This e-book highlights real-world examples and explains how to implement a federated data ecosystem in pharma and healthcare:

checkmark Benefits of federated data ecosystems in pharma and healthcare
checkmark Examples in drug discovery, clinical trials and commercial growth
checkmark How data collaboration compares with data sharing
checkmark How to get started with federated data ecosystems

Want to collaborate on distributed data?

Learn how to foster collaboration in a secure, private and compliant way. Talk to us about governed data access for analytics and ML.