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How to predict the side effects of millions of drug combinations

Zitnik created a new network to describe how different drugs interact with our bodies

17-Jul-2018

Key points from article :

Stanford University has developed a deep-learning system called Decagon.

Uses a model of how proteins in our bodies interact with each other and different drugs.

Could help doctors make better decisions about which drugs to prescribe.

May also help researchers find better combinations of drugs to treat complex diseases.

Millions of people take up to five or more medications a day.

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Marinka Zitnik

Assistant Professor at Harvard University

Stanford University

Private research university, one of the world's leading research and teaching institutions

Topics mentioned on this page:
AI in Healthcare