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:

• How you can preserve intellectual property while generating value from sensitive data

• Deep dive into federated and secure QSAR models

• How Apheris prevents uncontrolled data sharing

• How you can pave the way to precision medicine with federated and secure QSAR model training