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